Title Filter Banks and Audio Coding : Compressing Audio Signals Using Python Author(s) Schuller, Gerald Publication Cham, Springer International Publishing, 2020. Description XI, 197 p. 72 illus., 49 illus. in color : online resource Abstract Note 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 ISBN,Price 9783030512491 Keyword(s) 1. Acoustical engineering 2. ACOUSTICS 3. APPLICATION SOFTWARE 4. Computer Appl. in Social and Behavioral Sciences 5. EBOOK 6. EBOOK - SPRINGER 7. Engineering Acoustics 8. IMAGE PROCESSING 9. SIGNAL PROCESSING 10. Signal, Image and Speech Processing 11. Speech processing systems 12. User interfaces (Computer systems) 13. User Interfaces and Human Computer Interaction Item Type eBook Multi-Media Links Please Click here for eBook Circulation Data Accession#   Call# Status Issued To Return Due On Physical Location I09589     On Shelf