Advances in Audio Watermarking Based on Matrix Decomposition (Record no. 78502)
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fixed length control field | 03726nam a22005655i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-030-15726-5 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801220356.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 190423s2019 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783030157265 |
-- | 978-3-030-15726-5 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.382 |
100 1# - AUTHOR NAME | |
Author | Dhar, Pranab Kumar. |
245 10 - TITLE STATEMENT | |
Title | Advances in Audio Watermarking Based on Matrix Decomposition |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2019. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XI, 56 p. 25 illus., 16 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Chapter1: Introduction -- Chapter2: LWT-Based Audio Watermarking Using FWHT and SVD -- Chapter3: Audio Watermarking Based on LWT and QRD -- Chapter4: Audio Watermarking Based on FWHT and LUD -- Chapter5: Audio Watermarking Based on LWT and SD -- Chapter6: Conclusions and Future Work. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1 discusses the application and properties of digital watermarking. Chapter 2 proposes a blind lifting wavelet transform (LWT) based watermarking method using fast Walsh Hadamard transform (FWHT) and singular value decomposition (SVD) for audio copyright protection. Chapter 3 presents a blind audio watermarking method based on LWT and QR decomposition (QRD) for audio copyright protection. Chapter 4 introduces an audio watermarking algorithm based on FWHT and LU decomposition (LUD). Chapter 5 proposes an audio watermarking method based on LWT and Schur decomposition (SD). Chapter 6 explains in details on the challenges and future trends of audio watermarking in various application areas. Introduces audio watermarking methods for copyright protection and ownership protection; Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imperceptibility, robustness, and data payload; Discusses in details on the challenges and future research direction of audio watermarking in various application areas. |
700 1# - AUTHOR 2 | |
Author 2 | Shimamura, Tetsuya. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-030-15726-5 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2019. |
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-- | txt |
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-- | computer |
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-- | rdamedia |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal processing. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational linguistics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Algorithms. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal, Speech and Image Processing . |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Linguistics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Algorithms. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2191-7388 |
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-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
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