Unlike Postmortem I, I will not be so nice. I mentioned that the pink-grey exegesis of an audio's Fourier Transform is just that, an exegesis. When it comes to sound localization, however, I will be relentless in my opinion; pure mono is sacrilege. Unless you are a sound artist trying to prove a point (or lack thereof), any audio engineer who relinquishes the pursuit of binaural in this day and age should be chastised. If we are to enact a Sound Design Renaissance, we must strive for perpetual innovation. Pure mono is not that.
Relative to Chapter I, Chapter II was laboriously researched. I decided to take a more mathematically rigorous approach to the auditory comparison simply because the axioms responsible for the HRTF are interdisciplinary. Without much of a tangent, the same convolution matrices which operate upon the frequencies and phase shifts of sound are implemented as well in photography, another hobby of mine.
It should be mildly conspicuous by now that, when I can, I employ a computational analysis to my work.
Official Sources:
Introduction to HRTFs
Modeling Head Related Transfer Functions
Approximating the head-related transfer function using simplegeometric models of the head and torso
Seminar Ia - 1. year, 2nd cycle
A Head-Related Transfer Function Model for Real-Time Customized 3-DSound Rendering
Efficient Modeling and Estimation from Small Sets of Spatial Samples
Virtual Auditory Display
Head-related transfer function (wiki)
Sound localization (wiki)
Convolution, Noise and Filters
Filtering and Convolutions
Impulse Response and Convolution
Chapter Four: Synthesis
Decoding Matrix Encoded Surround Sound Through Convolution
Minds
YouTube
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