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Books > Science & Mathematics > Physics > Classical mechanics > Sound, vibration & waves (acoustics)
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Filter Banks and Audio Coding - Compressing Audio Signals Using Python (Paperback, 1st ed. 2020)
Loot Price: R1,574
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Filter Banks and Audio Coding - Compressing Audio Signals Using Python (Paperback, 1st ed. 2020)
Expected to ship within 10 - 15 working days
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This textbook presents the fundamentals of audio coding, used to
compress audio and music signals, using Python programs both as
examples to illustrate the principles and for experiments for the
reader. Together, these programs then form complete audio coders.
The author starts with basic knowledge of digital signal processing
(sampling, filtering) to give a thorough introduction to filter
banks as used in audio coding, and their design methods. He then
continues with the next core component, which are psycho-acoustic
models. The author finally shows how to design and implement them.
Lastly, the author goes on to describe components for more
specialized coders, like the Integer-to-Integer MDCT filter bank,
and predictive coding for lossless and low delay coding. Included
are Python program examples for each section, which illustrate the
principles and provide the tools for experiments. Comprehensively
explains the fundamentals of filter banks and audio coding;
Provides Python examples for each principle so that completed audio
coders are obtained in the language; Includes a suite of classroom
materials including exercises, experiments, and examples.
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