Filter Banks and Audio Coding: Compressing Audio Signals Using Python
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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.
The book, Filter Banks and Audio Coding: Compressing Audio Signals Using Python [Bulk, Wholesale, Quantity] ISBN#9783030512484 in Hardcover by Gerald Schuller may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer International Publishing
- Author
- Gerald Schuller
- Format
- Hardcover
- Published
- Sep 24, 2020
- ISBN-13
- 9783030512484
- Pages
- 197
- Printing
- Printed on demand
Filter Banks and Audio Coding for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $74.79 | 12% off list |
| 50 – 99 | $73.94 | 13% off list |
| 100+ | $73.09 | 14% off list |
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