Fundamentals of music processing: using python and jupyter notebooks (Record no. 2628)
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000 -LEADER | |
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fixed length control field | 01670nam a22002297a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220813105106.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220716b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783030698102 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.4 |
Item number | MUL |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Muller, Meinard |
245 ## - TITLE STATEMENT | |
Title | Fundamentals of music processing: using python and jupyter notebooks |
250 ## - EDITION STATEMENT | |
Edition statement | 2nd |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | Springer |
Place of publication, distribution, etc. | Switzerland |
Date of publication, distribution, etc. | 2021 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xxxi, 495 p. |
365 ## - TRADE PRICE | |
Price type code | EURO |
Price amount | 89.99 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | About this book<br/>The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR). Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, signal processing, computer science, digital humanities, and musicology.<br/><br/><br/><br/>The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts used throughout the book. Each of the subsequent chapters starts with a general description of a concrete music processing task and then discusses—in a mathematically rigorous way—essential techniques and algorithms applicable to a wide range of analysis, classification, and retrieval problems. By mixing theory and practice, the book’s goal is to offer detailed technological insights and a deep understanding of music processing applications. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer sound processing |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Electronic music |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Sound--Recording and reproducing--Digital techniques |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Fourier analysis |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | IT & Decisions Sciences | TB842 | 30-06-2022 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 07/16/2022 | Technical Bureau India Pvt. Ltd. | 3109.41 | 006.4 MUL | 002808 | 07/16/2022 | 1 | 4729.14 | 07/16/2022 | Book |