| 000 -LEADER |
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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230831b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783030512514 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
621.3893 |
| Item number |
SCH |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Schuller, Gerald |
| 245 ## - TITLE STATEMENT |
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| Title |
Filter banks and audio coding : compressing audio signals using Python |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2020 |
| Place of publication, distribution, etc |
Cham : |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xi, 197 p. ; |
| Other physical details |
ill., |
| Dimensions |
28 cm |
| 365 ## - TRADE PRICE |
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| Price amount |
49.99 |
| Price type code |
EUR |
| Unit of pricing |
94.99 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Sound Recording and reproducing |
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| Topical term or geographic name as entry element |
Digital techniques |
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Acoustical engineering |
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| Topical term or geographic name as entry element |
Bandpass |
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Audio signal processing |
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| Topical term or geographic name as entry element |
Bark scale |
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DCT4 |
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| Topical term or geographic name as entry element |
Folding matrix |
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| Topical term or geographic name as entry element |
Masking threshold |
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| Topical term or geographic name as entry element |
MDCT |
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| Topical term or geographic name as entry element |
Perfect reconstruction |
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| Topical term or geographic name as entry element |
Polyphase matrix |
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| Topical term or geographic name as entry element |
Prediction error |
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| Topical term or geographic name as entry element |
Psycho-acoustic model |
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| Topical term or geographic name as entry element |
Python |
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| Topical term or geographic name as entry element |
Reconstructed samples |
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| Topical term or geographic name as entry element |
Rice code |
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| Topical term or geographic name as entry element |
Synthesis filterbank |
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| Topical term or geographic name as entry element |
Z-transform |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
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| Item type |
Books |