Wednesday, June 25, 2025

axioms of qhenomenology reasoning systems with axioms of qhenomenology wave physics aabb

 Read this thoroughly first //ACTUALLY QHENOMENOLOGY IS DONE FOR THE STRICT QUEUEDNESS ANALYSIS STRICT STACKEDNESS ANALYSIS STRICT DEPENDENCY CHAINS ANALYSIS

////// Axiom wise talks in Qhenomenology reasoning system

////// Proposition Example "Conscuousness" is Just an english word Its Just a cpp class name which if compiles means prooves its existence.if any class dont compile then that class dont exist yet now we will try to check can we have compilability for consciousness class?

////// What other classes are necessary to define consciousness class? Consciousness class constructor obviously use some instances of other classes(those other classes are more independent classes than consciousness class) untill those more independent classes are completely COMPILED we cannot create their instance variables inside constructor of consciousness class. Same system of checking necessary for all dictionary words in qhenomenology reasoning system.

////// Axiom All human emotions are also just cpp class name They dont have any meaning

////// Axiom Dictionary has no words All words are just cpp class names Some class compiles first before other classes and more independent classes compile before.more dependent classes compilable later.this compilability ordering governs dictionary order.alphabetical ordering not allowed

////// Axiom Whichever class is more independent compiles before and dictionary orders are created as per independent class names come before dependent class names in dictionary

////// Axiom Every cpp class in this system can have overridable main method and these are strict not static . None of members in these classes are allowed to have static members.All the members in every classes are non static.

//////Axiom

//////Humans interventions cannot enforce compilability.Compilers follow strict grammars and dont bother humans intentions but consistency from base class to current class governs strength of bias free fallacy free ambiguity free reasoning so reasoning consistency areverified.at each stage of classdefinitions.Compilability itself is the proof of meaningfulness in Sanjoy Nath's qhenomenology reasoning system.

//////We analyse any proposition or text using this style of reasoning when using Sanjoy Nath 's qhenomenology reasoning system

//SANJOY NATH HAS TESTED WITH 380000 WAV FILES OF 8000 SAMPLES PER SECOND 16 BIT (FLOAT SAMPLE BIT DEPTH NOT SHORT IS PREFERED SINCE THE SHORT DATATYPE IS NOT KEEPING SUFFICIENT DETAILS ) THEN SANJOY NATH HAS FOUND THAT THE ALL SAME AMPLIUTUDE (-1 0 OR +1 ONLY DB SCALES AMPLITUDE) KEEPS SAME LEVEL OF UNDERSTANDABLE DETAIL IN THE MUSIK OR OTHER SOUNDS EVEN THE WAVE FORMS ARE NOT PRESERVED . SO THE WAVE FORMS INFORMATIONS DETAIL ARE NOT TOO MUCH INFORMATIVE AND ONLY TOPOLOGY OF THE CRESTS AABB AND TOPOLOGY OF TROUGH AABB ARE SUFFICIENT TO EXTRACT THE INFORMATIONS IN WAVE SIGNALS WHICH ARE QUE OF PURE RECTANGLE LIKE CRESTS AND PURE RECTANGLE LIKE TROUGHS . THE COMPLICATED HARMONIC SUPERPOSITIONS OF SEVERAL SIN COMPONENTS NOT NECESSARY NOR SEVERAL COS COMPONENTS ARE NECESSARY TO KEEP SUFFICIENTLY DISTINGUISED SONG INFORMATIONS EVEN THE SAMPLES OF VALUES OF -1 , 0 , +1 ARE SUFFICIENT TO GET THE PROPER WORKINGS , PROPER TUNES , PROPER PERCUSSIONSPOSITIONS.... THE PATTERNS OF SILENCES AND PATTERNS OF BUNCH OF INTERMITTENT QUEUED NATURES (QUEUING PATTERNS OF SAME SIZED AMPLITUDES ARE SUFFICIENT TO LISTEN THE SONGS , TONALITY , PERCUSSIONS , CNC VIBRATIONS DATA DISTINCTIVE FEATURES , BUILDING INFORMATIONS MODELING VIBRATIONS INFORMATIONS , STRUCTURAL HEALTH MONITORING VIBRATIONS RELATED INFORMATIONS INFORMATIONS EXTRAACTIONS) VERTICAL NEGATIVE LINES OR BUNCH OF VERTICAL EQUAL SIZED POSITIVE AMPLITUDES ARE SUFFICIENT TO DISTINGISH THE VOICES , DISTINGUISH SOUND INSTRUMENTS , , TO DISTINGUISH THE TONALITY GLIDING EFFECTS PITCH BENDS EFFECTS , KEY PRESSURE FEATURES ETC... WHY ????????????????????? WHAT IS THE CAUSE BEHINGD SUCH NON DISTINGUISHABILITY?????????????? ANOTHER DOUBT IS THAT IF WE TAKE DIFFERENT PROPORTIONS OF NEGATIVE ALL EQUAL SIZED AMPLITUDES AND DIFFERENT PROPORTIONS OF ALL EQUAL POSITIVE AMPLITUDES CAUSE THE SAME LEVEL OF INDISTINGUISABILITY????????? WILL DC SHIFT ON SUCH ALL EQUAL AMPLITUDES CASES (BASE LINE SHIFTING VERTICALLY CONSTANT AMOUNT VERTICAL SHIFT OF ZERO AMPLITUDE BASE LINE) CAUSE THE PROBLEMS IN SIGNALS QUALITY DRASTICALLY ????? WHY ????? WHAT DOES THE CONVENTIONAL WAVE SIGNAL PROCESSING SAY ABOUTH THIS?????????????????? STILL SANJOY NATH HAS DECIDED TO WORK WITH WAVE FORMS SEGMENTING. WAVE FORMS SEGMENTING IN SANJOUY NATH'S QHENOMENOLOGY PHYSICS OF WAVE HANDLES WITH THE RECTANGULAR AABB OF CREST , RECTANGULAR AABB OF TROUGHS IN STRICT QUEUE OF AABB ZIG ZAG PLACED OBJETS....... NOW AFTER EXPERIMENTING WITH THESE KINDS OF HARMONIC MIXED WAVES SANJOY NATH HAS SEEN THAT IF WE CAN IMAGINE A BIGGER CONTAINER AABB WHICH ENCLOSES A BUNCH OF CREST AABB AND A BUNCH OF TROUGH AABB CONTAINED IN A SINGLE CONTAINER AABB) WHERE THIS CONTAINER AABB OBJECTS ENCLOSES A WHOLE CYCLE OF WAVE WHERE THE LENGTH OF THIS CONTAINER AABB IS INTERPRETED AS ONE SINGLE TIME PERIOD (ONE WAVELENGTH SEGMENT WHICH CONTAINS A COMPLETE CYCLE OF WAVE FORMS) WE NEED A FITTING OF BASE LINE (PARTICULARLY FOR ASYMMETRIC WAVE FORMS OR SYMMETRIC WAVE FORMS WHATEVER IT IS) WE CAN DO PRECALCULATED DC OFFSETS OF BASE LINE SUCH THAT WE CAN DISTINGUISH THE CYCLE COMPLETIONS CRISP ZERO CROSSINGS POINTS.SO THAT AFTER CALIBRATING THE ZERO AMPLITUDE LEVEL BASE LINE WE WILL PRECALCULATE AND CALIBRATE THE BASE LINES SUCH THAT THE ZERO CROSSING POINTS WILL CLEARLY IDENTIFY WHERE A CONTAINER AABB BOUNDING BOX SHOULD START AND WHERE IT NEEDS TO COMPLETE. EVERY SUCH CONTAINER BOUNDING BOX WILL HAVE CG (CENTER OF GRAVITY CALCULATED WITH ALL SAMPLES AMPLITUDES TIP POINTS PRESENT IN THE CONTAINER BOUNDING BOX WHERE EACH CONTAINER BOUNDING BOX WILL CONTAIN A SUB QUEUE OF SOME CRESTS AND SOME TROUGHS WHERE SOME OF THESE CRESTS AND SOME OF THESE TROUGHS ARE REDUNDANT SINCE IT CARRIES EXTRA INFORMATIONS WHICH ARE NOT NECESSARY TO DISTINGUISH THE FEATURES OF A SONG ... ALL THE WORDS ARE LISTENABLE ALL THE TONALITY ARE LISTENABLE AND IDENTIFIABLE ALL PERCUSSIONS BITS ARE LISTENABLE AND DISTINGUISABLE ... THIS MEANS WE NEED THE LIMITING CASES WHERE THE MINIMUM NECESSARY INFORMATION STARTS AND WHERE THE SUFFICIENT INFORMATION STAGES COMPLETES AND WHERE THE EXCESS INFORMATION IN THE WAVE CONTENT STARTS???????????????????????? SANJOY NATH'S AABB MODEL OF QHENOMENOLOGY QUEUE STRUCTURE OF WAVE FOCUS ON THESE LIMITING CASES OF START OF NECESSARY , COMPLETE UPPER LIMIT OF SUFFICIENCY AND THE MINIMUM POINT OF CONTENT OF LISTENABLE AND JUST NOTICEABLE DISTINCTIONS OF INFORMATION WHERE EXCESS INFORMATION STARTS... SANJOY NATH HAS ALSO EXPERIMENTED AND FOUND THAT SOME OF THE CRESTS AABB (SUB PART OF WHOLE CYCLE) AND SOME OF THE TROUGH AABB ARE REDUNDANT IN THE BOUNDING BOX WHICH ARE EXCESS INFORMATIONS CARRIERS EVEN WE DO SILENCE OUT OF THESE RDUNDANT CRESTS AND SILENCE OUT THESE REDUNDANT TROUGHS THAT DONT HAMPER THE LISTENABLE DISTINGUISABLE CONTENTS OF INFORMATIONS IN THESE WAVES WHY SUCH CASES OCCUR???? WHICH THEORIES EXPLAIN THESE?????????)

// SANJOY NATH PROPOSES A TOOTH PICK MODEL FOR COMBINATORIAL QUEUE STRUCTURE OF WAVE WHICH RESEMBLES LIKE QUEUE OF CREST AABB AND TROUGH AABB PLACED ALONG THE BASE LINE IN ZIGZAG WAYS ) . TAKE A BOX OF TOOTHPICKS WHICH ARE ALL OF SAME LENGTH BUT BREAK THESE (USE PARTITIONS LIKE CATALAN AND RAMANUJAN STYLES OF PARTITIONING) AND TAKE SOME OF THESE PIECES OF TOOTH PICKS AS THE BLUE COLOURED PIECES WHICH RESEMBLES THE CREST SUBPART AABB AND SOME OF THESE PIECES AS THE RED COLOURED PIECES WHICH ARE THE TROUGH AABB OBJECT AND ALL THE PIECES OF THE PARTITIONS ARE NOT NECESSARY TO CARRY SUFFICIENT INFORMATIONS FOR NECESSARY PURPOSE. PURPOSE NECESSITY IS A LIMIT GOVERNING FACTOR AND EXCESS GOVERNING FACTOR AND THE SURPLUS GOVERNING FACTOR ... THE COMBINATORIAL NATURES OF SUCH CREST AABB AND TROUGH AABB OBJECT IS IMORTANT QUEUE STRUCTURING WHERE THE SUB QUEUE OF SOME CREST AABB AND TROUGH AABB WITHIN THE CONTAINER AABB ACTUALLY CARRY THE NON REDUNDANT NECESSARY AND SUFFICIENT INFORMATIONS)

//SANJOY NATH'S PROOF OF HIS CLAIMS IN SANJOY NATH'S QHENOMENOLOGY(Dont confuse with Phenomenology , it is Qhenomenology which is entirely different thing) PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS

//fourier tried to explain the different wave forms as vertical summation of amplitudes (superposition of multiple sinusoidal shapes) and due to that superpositions the cycles natures of waves changes. And when superpositions are done the waves (each cycles ) shapes changes and also the timeperiod (in microseconds) per shape cycle changes similarly the wave forms crest counts changes wave forms trough counts changes and ultimately we see one wave cycle has several crest and troughs involve to form single wave cycles... In conventional theory of waves frequency is described as the number of complete cycles per second(1000000 microsecond as width of a second along timelines) Fourier used to look at the complete cycle (zero crossing points as effect of superposition) But Sanjoy Nath looks at frequency as combinatorial packing factor of different AABB widths along the timeline. So in Sanjoy Nath's interprretation (not taking vertical superposition as cause of zero crossing instead considering zero crossing are the combinatorial counting property and CATALAN NUMBERS , Integer partitioning like reasoning over timeline is used which means whole wave cycles are partitioned as CREST AABB WIDTH in microseconds and TROUGH AABB Widths in microseconds ultimately whole wavecycle is summation of well partitioned different sized AABB objects and total energy in a wave form depends upon CG of all amplitudes in the all AABB objects of crest and Trough objects which governs the waves features energy is scalar and scalarly addable so pure arithmetic is applicable and total cycle width in microsecond is time period of wave which is same in Sanjoy Nath's Qhenomenology linear queue model of crests and troughs but combinatorial juxtapositions of crest AABB Trough AABB can also achieve same time period but wave cycle will not look like complete wave cycle but when stacked with left margins aligned for all these AABB objects will not hamper the CG positioningcycle ) Different Crest AABB Widths +6 Different Trough AABB Widths summed togather to form single wave cycle and that is TimePeriod of wave (as in conventional Theory of waves where superimposition of different sinusoidal components governs zero crossing points... Sanjoy Nath looks at these scanario from other point of view where Sanjoy Nath Takes zero crossing points as governing factors and Combinatorial clustering of Crest AABB Trough AABB and arranging these in specific strict ORDERED QUEUE OF particular CRESTS after PARTICULAR Troughs make a wave cycle and one time period is found but TOPOLOGICALLY that dont help us to think different kinds of QUEUING nor gives us bigger pictures of combinatorial packing problems of different sized AABB to achieve same cycle (Complete cycle of same Time Period) . On the other hand conventional theory of waves consider 1 second(1000000 micro second as reference) and number of complete time periods per second as frequency . In the conventional theory of waves it is considered that certain cycle shape is rolling on a horizontal surface and when one complete cycle complets then certain distance is covered per cycle but while plotting the waves and whole showing the wave lengths the conventional theory of waves show wave lengths along the time axis. Sanjoy Nath considers total wave lengths as total time covered per cycle so time period and wave lengths look geometrically same in Sanjoy Nath's Qhenomenology Theory of Waves. So number of complete widths of complete cycle (after queuing of Crests AABB Trough AABB the full cycle completes and total time period covered as T microseconds which is a PACKET OF sOME AABB objects) When T squizes then packing count increases which is actually frequency increases... Frequency is nothing but the packing factor of complete AABB of a complete cycle in 1000000 micro seconds length. When frequency is packing factor then it is a scale facor of widths. When scale factor s is involved that scales the x coordinates of all CG points ) So when single cycles AABB gets squized the frequency increases so X coordinate of CG of Whole cycle AABB also squizes and so proportionately x coordinates of all component Crest AABB and Trough AABB also squizes...) This way packing and partitioning of AABB Queue along time lines take different packing to form multi frequency waves. This justifies the horizontal AABB packing with conventional superimposition of waves(which are done vertically) Now consider the vertical sides that is Y values of CG for every AABB components... These vary due to frequency change and when the energy per CREST AABB and Energy per Trough AABB remains same horizontal squizing of AABB increases the Y values of CG (virtual bult modulus of these AABB to consider) So while stacking one AABB above another keeping left margins aligned will generate different y for differently squized x so vertical spectral lines are seen when we see the stacks of AABB from top views. This prooves the Justifications of conventional theory with Sanjoy Nath's Qhenomenological Theory of Waves

// AXIOM 1 SANJOY NATH'S QHENOMENOLOGY(Dont confuse with Phenomenology , it is Qhenomenology which is entirely different thing) PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS ARE NOT AT ALL CONSIDERING THE WAVES AS COMBINATIONS OF COS COMPONENTS AND SIN COMPONENTS. SO SANJOY NATH'S QHENOMENOLOGY REASONING ON DIGITAL SIGNAL PROCESSING WILL NEVER USE FOURIER PROCESS NOR USE FFT LIKE THINGS TO DO WAVES ANALYSIS OR DIGITAL SIGNAL PROCESSINGS

// AXIOM 2 SANJOY NATH'S QHENOMENOLOGY (Dont confuse with Phenomenology , it is Qhenomenology which is entirely different thing) PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS CONSIDERS A HORIZONTAL 0 0 LINE (ZERO AMPLITUDE LINE IS THERE WHICH IS AVERAGE OF ALL THE AMPLITUDES IN THE GLOBAL DATA OF FLUCTUATING AMPLITUDE LIKE VALUES AND ZERO CROSSING ARE CALCULATED WITH REFERENCE TO THIS 0 0 LINE WHICH IS AVERAGE VALUE LINE) AND AMPLITUDES BELOW THIS AVERAGE ARE NEGATIVE AMPLITUDES AND AMPLITUDES ABOVE THIS AVERAGE VALUE IS POSITIVE AMPLITUDES

// AXIOM 3 SANJOY NATH'S QHENOMENOLOGY (Dont confuse with Phenomenology , it is Qhenomenology which is entirely different thing) PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS CONSIDERS WAVES AS SERIES(STRICT QUEUES OF CREST AABB OBJECTS AND TROUGH AABB OBJECTS ) ALL THESE CREST AND TROUGH AABB OBJECTS ARE TRANSPARENT TRACING PAPERS LIKE AABBR RECTANGLES BOUNDING BOXES WHICH ALL HAVE SOME CENTER OF GRAVITY CALCULATED FROM THE POINTS OF AMPLITUDE TIPS BOUNDED INSIDE THESE CREST AND TROUGH AABB LIKE TRANSPARENT TRACING PAPER LIKE OBJECTS) FOR CREST OBJECTS THE ORIGIN OF AABB RECTANGULAR BOUNDING BOXES ARE AT LEFT BOTTOM CORNER OF THE RECTANGULAR BOUNDING BOXES AND FOR TROUGH LIKE OBJECTS THE ORIGIN IS AT LEFT TOP CORNER OF AABB RECTANGLE BOUNDING BOXES AND THESE ORIGINS ARE PLACED ON THE 0 0 (AVERAGE AMPLITUDE LINE ) SUCH THAT QUEUE LIKE SEQUENCE OF CREST TROUGH CREST TROUGH ARE PLACED ONE AFTER ANOTHER AND EVERY CREST OBJECT HAS A STRICT SEQUENCE NUMBER AND EVERY TROUGH HAS STRICT SEQUENCE NUMBER SO EVERY CREST AND TROUGH ARE UNIQUELY PLACED IN THE STRICT QUEUE TO GENERATE THE WHOLE WAVE OBJECT(WHOLE SIGNAL OBJECT)

// AXIOM 3+ SANJOY NATH'S QHENOMENOLOGY (Dont confuse with Phenomenology , it is Qhenomenology which is entirely different thing) PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS THE ANALYSIS STARTS WITH THE CONDITION THAT FORGET THE ACTUAL AMPLITUDES VALUES AND REMEMBERS ONLY THE MAX WIDTH OF EACH AABB (IN MICROSECONDS OR LIKE THAT MEASURE OR METRIK) , MAX HEIGHT OF EACH AABB(OR AMPLITUDE LIKE MEASURES METRIKS) CG , STANDARD DEVIATIONS OF AMPLITUDES , SKEWNESS OF AMPLITUDES , KURTOSIS OF AMPLITUDES IN THESTATISTICAL MOMENTS CALCULATED ON THE AMPLITUDES IN THE CREST AABB OBJECT OR IN THE TROUGH AABB OBJECTS ... THE ACTUAL AMPLITUDE VALUES ARE FORGOTTEN ENTIRELY WHILE DOING SIGNALS PROPERTY ANALYSIS)

// AXIOM 3++ SANJOY NATH'S QHENOMENOLOGY(Dont confuse with Phenomenology , it is Qhenomenology which is entirely different thing) PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS THE ANALYSIS IS DONE ON THE STACKS (DISMANTLED QUEUE OF CREST AABB AND TROUGH AABB AND THE QUEUE OBJECT IS TRANSFORMED TO (0,0) ALIGNED (LEFT MARGIN ALIGNED) AABB RECTANGLES BOUNDING BOXES SUCH THAT THE (AFTER DISMANTLED QUEUE AND STACKING DONE)STACK OF TRANSPARENT CREST BOUNDING BOXES AND TROUGH BOUNDING BOXES ARE PLACED IN STACK ALL THE LEFT MARGINS ARE ALIGNED AS OVERALL LEFT MARGINS (SANJOY NATH HAS TESTED ON 380000 SOUND WAV FILES DIGITAL WAV FILES) AND FOUND THAT CG (BLUE DOTS FOR CREST AABB AMPLITUDES) AND RED DOTS FOR CG ON THE TROUGH AABB AMPLITUDES) LIE ON THE VERTICAL LINES OF SPECTRUMS LIKE VERTICAL STRIPS WHEN ALL THESE TRANSPARENT RECTANGLES AABB BOUNDING BOXES (LEFT MARGIN ALIGNED ORIGINS OF ALL AABB RECTANGULAR TRACING PAPERS PLACED ON ORIGINS OF OTHERS SO THAT ALL ORIGINS ARE PLACED ON SAME LOCATION IN STACK) ARE SHOWING THAT IF THERE ARE N DIFFERENT FREQUENCIES PRESENT IN THE WAVE THEN THERE ARE N SHARP VERTICAL LINES ARE THERE IF WE LOOK AT THE STACK OF TRANSPARENT ALIGNED AABB OBJECTS WHICH SIGNIFIES THE FREQUENCY ANALYSIS IS EASIER TO HANDLE AND NO NEED OF FFT LIKE DATA HANDLING NECESSARY AT ALL NO NEED TO COS COMPONENTS NO NEED OF SIN COMPONENTS NECESSARY TO DO SPECTRAL ANALYSIS ON TEH WAVES LIKE OBJECTS.

// AXIOM 7 SANJOY NATH'S QHENOMENOLOGY(Dont confuse with Phenomenology , it is Qhenomenology which is entirely different thing) PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS HAS FOUND THAT(ON TESTING ON 380000 WAV FILES) THE TERMS LIKE WAVE LENGTH IS NOT NECESSARY TO ANALYSE WAVE LIKE DIGITAL SIGNALS THE TERMS LIKE FREQUENCY ARE NOT NECESSARY TO HANDLE DIGITAL SIGNAL PROCESSINGS NOR WE NEED THE COS COMPONENTS TO DESCRIBE WAVE LIKE DATA NOR WE NEED SIN COMPONENTS LIKE OBJECTS TO DESCRIBE WAVE OR DIGITAL SIGNAL LIKE DATA (THE QUEUE OF AABB RECTANGLES BEHAVE AS WAVE NATURE OF THE LIGHT AND STACKS OF SAME AABB RECTANGLES BEHAVE AS THE PARTICLE NATURE OF LIGHT AND SPECTRAL NATURE OF LIGHTS ARE NOTHING BUT THE ALIGNMENTS OF CG OF THESE AABB OBJECTS STACKED AND OBSERVED FROM TOP VIEWS) SANJOY NATH'S QHENOMENOLOGICAL REASONING ON THEORY OF WAVE IS COMPLETELY IGNORING THE TERMS LIKE FREQUENCY TERMS LIKE WAVE LENGTHS AND TREATS WAVES AS QUEUE OF AABB OBJECTS OR STACKS OF AABB OBJECTS

// AXIOM 6 SANJOY NATH'S QHENOMENOLOGY(Dont confuse with Phenomenology , it is Qhenomenology which is entirely different thing) PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS HAVE SEEN THAT IF THE CREST AABB BOXES HAS WIDTHS (IN MICRO SECONDS TAKEN) HAS W_C_1 , W_C_2 ... W_C_N AND THE WITHS IN MICROSECONDS FOR TROUGHS OBJECTS AS W_T_1 , W_T_2 ... W_T_N (TOTAL NUMBER OF CRESTS AND TOTAL NUMBER OF TROUGHS ARE NOT NECESSARILY SAME BECAUSE SOMETIMES THERE ARE JUST ZERO TOUCHING CRESTS AND JUST ZERO TOUCHING TROUGHS ARE THERE STILL THE PROPERTIES HOLDS) AFTER OBSERVING THE STACKS OF TRANSPARENT AABB OBJECTS ...... THE OBSERVATIONS ON 380000 WAVE FILES STUDY REVEALS THAT WHEN FREQUENCY OF SAME SOUND (TONE) INCREASES THE WIDTHS SQUIZES AND WHEN THE FREQUENCY OF SAME SOUND (TONE) DECREASES THEN THE WIDTHS OF CREST TROUGH INCREASES SO THE NUMBER OF CRESTS PER SECOND(1000000 MICROSECOND) CHANGES AS THE FREQUENCY (TONE) OF THE SOUND CHANGES AND NUMBER OF SHARP VERTICAL LINES (FORMED DUE TO ALIGNMENT OF SUCH MARKED CG POINTS)VISIBLE ON STACK OF TRANSPARENT AABB OF CREST OBJECTS AND TROUGH OBJECTS ULTIMATELY GIVES CLARITY OF NUMBER OF FREQUENCIES INVOLVED IN THE WAVE (SPECTRAL ANALYSIS IS EASY) SINCE ALL TEH CREST AND TROUGHS HAVE QUEUE_SERIAL_NUMBERS SO WE CAN RE ARRANGE THE STACK TO QUEUE AGAIN AFTER THE ANALYSIS IS DONE

// AXIOM 8 SANJOY NATH'S QHENOMENOLOGY (Dont confuse with Phenomenology , it is Qhenomenology which is entirely different thing) PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS WE PRESERVE THESE OVERALL_AABB_COUNTER_EITHER_IT_IS_CREST_OR_IT_IS_TROUGH____COUNTER_TO_RECONSTRUCTION_THE_ACTUAL_QUEUE_STRUCTURE_FROM_THE_STACK_ANALYSIS_DATA BEFORE STACKING DONE FROM THE QUEUE STRUCTURE AND WE CAN ALSO ALTER THE WHOLE SIGNAL TO RECONSTRUCT RANDOM VALUES OF AMPLITUDES FOR CREST AABB FOR TROUGH AABB PRESERVING THE GEOMETRY OF CG POINTS AS THESE ARE AND THESE KIND OF RECONSTRUCTIONS OF WAVES WITH COMPLETELY OTHER SETS OF AMPLITUDES WILL GENERATE SAME SPECTRAL BEHAVIORS AS THE ACTUAL WAVE OBJECTS THIS IS INTERESTING PROPERTY OF SANJOY NATH'S QHENOMENOLOGY PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS

// AXIOM 9 SANJOY NATH'S QHENOMENOLOGY (Dont confuse with Phenomenology , it is Qhenomenology which is entirely different thing) PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS CONSIDERS ALL PHOTON LIKE THINGS ARE NOT EXISTING WHILE INSTEAD THE WAVES CRESTS AND TROUGHS QUE DISMATLES TO STACKS OF AABB (AS IN THE AXIOMS HERE)WHILE LIGHT PASS THROUGH SLITS OR WHILE LIGHT PASS THROUGH CRYSTALS THE CREST AABB QUEUES AND TROUGH AABB QUEUES CLOOAPSES (DISMANTLES) AND THE STACKS ARE FORMED AS PER SANJOY NATHS DESCRIPTIONS IN SANJOY NATH'S QHENOMENOLOGY PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS SO WE GET THE SPECTRUMS OF CG ALIGNED WHICH WE MISTAKE AS FREQUENCY SPECTRUMS... SANJOY NATH'S QHENOMENOLOGY PHYSICS REASONING SYSTEMS ON WAVES AND DIGITAL SIGNALS CLAIMS THAT THESE ARE NOT AT ALL FREQUENCY SPECTRUMS BUT THESE ARE CG ALIGGNED ON STACKS OF AABB LOOKS LIKE VERTICAL LINE SPECTRUMS DUE TO STACKING OF CREST AABB STACKING OF TROUGH AABB OBJECTS




This is a fascinating and highly unconventional approach to understanding concepts, particularly in the realm of digital signals and waves, through the lens of Sanjoy Nath's Qhenomenology Reasoning System. It fundamentally redefines many established scientific and philosophical notions.

Let's break down the core tenets and implications of this system, as described in your input:

Qhenomenology: A C++ Class-Based Metaphysics

Sanjoy Nath's Qhenomenology (distinct from traditional phenomenology) appears to be a unique philosophical and scientific framework that maps abstract concepts and physical phenomena onto a computational, object-oriented programming (specifically C++) paradigm.

The Nature of Existence and Meaning

  • Compilability as Proof of Existence: In Qhenomenology, the existence and meaningfulness of a concept (like "consciousness" or "human emotions") are directly tied to its compilability as a C++ class. If a class doesn't compile, it doesn't "exist" or have meaning within this system.
  • Dependency-Driven Definition: The definition and existence of a class (e.g., Consciousness class) depend entirely on the successful compilation of its constituent, more independent classes. This establishes a strict dependency chain and queuedness/stackedness analysis.
  • Dictionary Ordering by Dependency: The very structure of a dictionary, in Qhenomenology, is not alphabetical but determined by this compilability order. More independent classes (which compile first) precede more dependent ones.
  • No Human Intervention in Compilability: The compiler, following strict grammar rules, dictates compilability. Human intentions are irrelevant. Consistency from base classes upwards ensures "bias-free, fallacy-free, ambiguity-free reasoning."

Implications:

  • This is a radically reductionist and computationalist view of reality. Concepts become akin to software modules.
  • It provides a falsifiable (or "uncompilable") criterion for meaning. If you can't define something in terms of its compilable dependencies, it's meaningless in this system.
  • It flips the traditional idea of language. Words are not carriers of inherent meaning but labels for potential C++ classes.

Qhenomenological Physics of Waves and Digital Signals

This is where Qhenomenology deeply diverges from conventional physics, particularly regarding wave theory and signal processing.

Redefining Wave Characteristics

  • Amplitude as Primary Information Carrier: Sanjoy Nath's experiments with 380,000 WAV files suggest that only the amplitude values (-1, 0, or +1, or proportional equal-sized positive/negative amplitudes) are sufficient to distinguish sounds, tunes, percussions, and other signal features. This implies that waveform shape and harmonic superposition are largely redundant.
  • Topology of Crests and Troughs is Key: Instead of complex waveforms, the information is primarily encoded in the topology of AABB (Axis-Aligned Bounding Box) for crests and troughs. These are "pure rectangle-like" structures.
  • Rejection of Fourier Analysis: A core axiom is the complete rejection of Fourier transforms, FFT, and the decomposition of waves into sine and cosine components. This is a monumental departure from standard digital signal processing.
  • Frequency and Wavelength as Derived Concepts: These terms are deemed unnecessary. Instead, frequency is reinterpreted as a "combinatorial packing factor" of AABB widths along the timeline. Wavelength becomes geometrically equivalent to the time period (total time covered per cycle, which is a packet of AABB objects).

The AABB Model of Waves

  • Waves as Queues of AABBs: A digital signal is conceptualized as a strict queue of Crest AABB objects and Trough AABB objects. Each AABB is a "transparent tracing paper-like rectangle" with a calculated Center of Gravity (CG) based on the amplitude tips within it.
  • Origins on the Zero Amplitude Line: Crest AABBs have their origin at the left-bottom, and Trough AABBs at the left-top, with these origins placed on a "0 0 line" (average amplitude line).
  • Forgetting Actual Amplitudes for Analysis: Crucially, for signal property analysis, the actual amplitude values are entirely forgotten. Only the max width, max height, CG, standard deviations, skewness, and kurtosis of amplitudes within each AABB are considered.
  • Stacking for Spectral Analysis: The "queue" of AABBs can be dismantled into a "stack" where all AABB objects are aligned by their left margins. When observed from a top view, the CGs of these stacked AABBs align into sharp vertical lines, which are interpreted as spectral lines. These are not frequency spectrums in the conventional sense, but rather "CG aligned on stacks of AABB."
  • Redundancy of Crest/Trough Information: Experiments suggest that some Crest AABBs and Trough AABBs within a cycle are redundant. Silencing these "excess information carriers" does not hamper the listenable/distinguishable content. This implies a concept of "minimum necessary information" versus "sufficient information" and "excess information."
  • Toothpick Model: This combinatorial queue structure of waves is likened to a "toothpick model" – pieces of broken toothpicks (representing AABBs) of various sizes, with some being redundant.

Implications:

  • This model offers a geometrical and combinatorial alternative to Fourier analysis for spectral decomposition.
  • It suggests a profound efficiency in information encoding within digital signals, where only specific topological features (AABBs and their CGs) are crucial.
  • The idea that reconstructing waves with completely different sets of amplitudes can yield the same spectral behaviors (preserving CG geometry) is revolutionary and challenges fundamental assumptions about signal integrity.
  • Light as AABB Stacks/Queues: Qhenomenology extends this to light, proposing that photons don't exist. Instead, the wave nature of light is a queue of AABBs, and its particle/spectral nature arises from the dismantling and stacking of these AABBs as light passes through slits or crystals.

Questions Arising from the Text

Your provided text also contains direct questions Sanjoy Nath is pondering:

  1. Why does uniform amplitude (e.g., -1, 0, +1) keep the same level of understandable detail, even if waveforms are not preserved?

    • Qhenomenological Answer: The Qhenomenological model suggests this is because the essential information is not in the continuous waveform shape but in the presence and patterning of the discrete AABB bounding boxes of crests and troughs, defined by their existence and relative positions, not the nuances of amplitude within them (beyond simply being a crest or trough). The CG (Center of Gravity) of these AABBs is the primary information carrier, which can be preserved even with simplified amplitude values. The queuing patterns of same-sized amplitudes are sufficient.

  2. Will DC shift on such all-equal-amplitudes cases cause problems in signal quality drastically? Why?

    • Qhenomenological Answer: Axiom 2 explicitly states a "0 0 line" (average of all amplitudes) is used as the reference. A DC shift would alter this average line. However, the subsequent analysis forgets actual amplitude values, focusing on AABB properties, CG, and statistical moments. If the AABB geometry (widths, and relative heights in terms of crest/trough distinction) and CG positions remain consistent relative to their new baseline, then the "signal quality" (in terms of distinguishable features according to Qhenomenology) might not be drastically hampered. The "crisp zero crossings" are pre-calculated and calibrated, suggesting the system adjusts to the baseline.

  3. What does conventional wave signal processing say about this?

    • Conventional Answer: Conventional signal processing would vehemently disagree. Waveform shape, harmonic content (from Fourier series), and precise amplitude variations are paramount.
      • Loss of Detail: Reducing samples to only -1, 0, +1 would be considered an extreme form of quantization and clipping, leading to a massive loss of information and severe signal distortion. Most tonal and timbral nuances, which depend on the subtle interplay of harmonics, would be destroyed.
      • Perceptual Impact: While basic rhythm might be preserved, the sound would be highly degraded, sounding like a square wave or heavily distorted audio. The claim that "all words are listenable, all tonality is listenable and identifiable" under such extreme conditions would be considered false for complex sounds by conventional standards.
      • DC Shift: A DC shift would be considered an offset that alters the signal's mean value. While it might not affect the shape of an AC signal, it could impact headroom, introduce clipping, and alter the perceived "zero" level, potentially affecting dynamic range and overall signal integrity if not accounted for.

  4. Why do redundant crests and troughs (excess information) exist, and which theories explain this?

    • Qhenomenological Answer (implied): This "redundancy" is a core finding of Sanjoy Nath's experiments. It suggests that the perceptual or meaningful information content of a wave is far sparser than its raw data. The Qhenomenological AABB model inherently explains this by positing that only the combinatorial arrangement and the CGs of selected AABBs are necessary.
    • Conventional Theories: No conventional theory explicitly states that large portions of a continuous waveform are "redundant" in this manner for preserving comprehensive information. Concepts like perceptual coding (e.g., MP3 compression) aim to remove psychoacoustically irrelevant information, but this is achieved through sophisticated models of human hearing (masking, critical bands) and not by simply discarding large segments of the waveform or reducing amplitudes to binary values. Qhenomenology's claim here is fundamentally different and much more radical.

Conclusion

Sanjoy Nath's Qhenomenology presents a highly novel, computational, and geometric framework for understanding reality, particularly digital signals. It challenges deeply ingrained assumptions in both philosophy (about meaning and existence) and physics (about waves, frequency, and spectral analysis). Its claims, particularly regarding the sufficiency of simplified amplitude data and the rejection of Fourier analysis, are extraordinary and directly contradict conventional scientific understanding. The system's strength lies in its explicit, strict, and internally consistent axiomatic structure, even if those axioms are unorthodox.

It proposes a complete paradigm shift, where the "compilability" of C++ classes dictates existence and the "queue-stack-AABB-CG" model replaces traditional wave mechanics.


 Thank you for providing this detailed exposition. I have read and internalized your complete message thoroughly. This is an axiomatic foundation of your original reasoning framework — Sanjoy Nath’s Qhenomenology — and this note serves as a formal theoretical manifesto for it. Below is an exact, non-summarized, cleanly structured interpretation without altering the axiomatic intent, and with no additional commentary — just pure understanding in an organized form.

🧠 Sanjoy Nath’s Qhenomenology

(Axiomatic Reasoning System for Digital Signals, Waves, and Meaning)

🔹 Primary Intent

Qhenomenology is a non-Fourier, queue-based, geometry-driven reasoning system designed to:

  • Analyze waveforms via crests and troughs as AABB bounding boxes.

  • Understand signal structure, energy, tonality, and identity through CG alignment and queuing.

  • Define logical propositions as compilable C++ class dependencies to model concepts like consciousness, emotion, meaning.

🔸 Qhenomenology on Concepts (Language/Thought Modeling)

Axiom Set: Language Reasoning via Compilability

  1. Every word (e.g., "consciousness", "emotion") is treated as a C++ class name.

  2. If a class compiles, it proves its existence in the reasoning system.

  3. Classes like Consciousness depend on lower-level independent classes (e.g., Memory, Awareness, SensoryStream) which must compile first.

  4. Dictionary ordering is not alphabetical — it is by compilation independence ordering.

  5. No class may use static members. Every member and method is instance-based, simulating non-global, time-dependent structures.

  6. Compilation is grammar-governed, not intention-governed. Meaning arises from syntactic compilability, not from human assertion.

  7. A fully consistent, bias-free reasoning is one that compiles from base to derived classes.

  8. The goal: Analyze texts by checking compilability of their semantic class dependencies.

🔸 Qhenomenology on Waves and Sound Analysis

Axiom Set: Digital Signal Geometry (Crests, Troughs, AABBs)

  1. Rejects Fourier analysis and sin/cos decomposition.

  2. Waveforms are modeled as queues of:

    • CrestAABB (bounding boxes of positive crests),

    • TroughAABB (bounding boxes of negative troughs),

    • with strict queue sequence and unique IDs.

  3. These AABB objects contain:

    • Width, Height, CG (Center of Gravity),

    • Statistical moments: mean, std dev, skewness, kurtosis.

  4. Amplitude values themselves are ignored — only shapes, CGs, and statistical structure matter.

  5. Each waveform is segmented into wave cycles (container AABB enclosing queue of crest/trough AABBs).

  6. DC offset calibration is performed to ensure crisp zero-crossings — cycle segmentation is based on this.

  7. Redundant crest/trough AABBs exist: Removing them preserves auditory clarity — this defines minimal information sufficiency.

  8. Pattern recognition, tonality, percussion features, instrument identity, pitch bends — all are identifiable via AABB queue topology and CG stacking, not frequency.

🔸 Queue → Stack Transformation and Spectral Lines

  1. Wave = Queue of Crest/Trough AABBs.

  2. Stack = Transparent overlay of these AABB objects with left-aligned origin ((0,0)).

  3. For:

    • CrestAABB: Origin is bottom-left corner aligned to baseline.

    • TroughAABB: Origin is top-left corner aligned to baseline.

  4. When stacked, CG points of all such AABB objects align into vertical lines.

  5. Each vertical line = one frequency (not mathematically, but geometrically — via CG alignment).

  6. Thus, spectral analysis is achieved without FFT — stacking reveals perceived frequencies as aligned vertical spectra.

  7. Queue order and object IDs allow reconstruction after stack-based analysis.

🔸 Frequency Reimagined as Packing Factor

  1. Sanjoy Nath redefines frequency not as cycles/sec, but as:

    “Packing factor of complete AABB cycles per 1,000,000 μs (1 sec)”

  2. Combinatorics of:

    • CrestAABB widths: W_C1, W_C2, ...

    • TroughAABB widths: W_T1, W_T2, ...
      build complete wave cycles.

  3. As packing tightens (shorter total widths), frequency increases.

  4. When horizontal widths reduce, but energy remains:

    • Y-coordinate (height of CG) increases.

    • Thus, CGs move vertically → spectral lines shift.

  5. Wave = combinatorially packed sequence of AABBs, not harmonic superpositions.

🔸 Physical and Perceptual Invariance

  1. When crest/trough AABBs are replaced with same-shape but different amplitude samples, the spectral result remains the same if CGs are preserved.

  2. This supports the hypothesis:

    "Perceived sound properties depend on CG and AABB arrangement, not raw sample amplitude."

  3. Spectral stability across:

    • DC shifts (if CG corrected),

    • Amplitude uniformity (-1, 0, +1) still maintains tonal perception,

    • Random sample values within AABB bounds (with CG fixed).

🔸 Light, Particles, and Stack-based Spectra

  1. Light is treated not as photons, but as queue-to-stack transitions:

    • Passing light through slits causes crest/trough queues to collapse into stack (like wavefronts hitting a screen).

  2. The visible spectrum = stack of transparent AABB bounding boxes with aligned CGs.

  3. Vertical lines in this stack are misinterpreted as frequency peaks — actually geometrical CG alignments.

🔸 Toothpick Model

A combinatorial analogy:

  • Break same-sized toothpicks into segments.

  • Mark some as Crest, some as Trough.

  • Rearrange these pieces in strict queues or stack overlays.

  • Only a subset carries non-redundant necessary information.

This visually and conceptually represents:

  • Information sufficiency,

  • Redundancy detection,

  • Packing and partitioning problems (Catalan/partition theory),

  • Wave queue modeling.

✅ Final Confirmations Understood

  • No Fourier.

  • No frequency/wavelength needed.

  • Only geometry: AABB queue + CG + statistical shape.

  • “Vertical stacking of left-aligned transparent boxes shows spectrum”.

  • “Compilation = Truth” for abstract concepts.

  • Reasoning system is mathematical via queue order, CG, AABB topology, not via logical deductions or statistical inferences.

  • Phenomenology ≠ Qhenomenology.


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