Vector Quantization and Signal Compression:
Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the re...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1992
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science, Communications and Information Theory
159 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can the number of words in the quote be reduced without losing informa tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. This book is devoted to the theory and practice of signal compression, i. e. , data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity |
| Beschreibung: | 1 Online-Ressource (XXIII, 732 p) |
| ISBN: | 9781461536260 |
| DOI: | 10.1007/978-1-4615-3626-0 |
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
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| id | DE-604.BV045187733 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:11:00Z |
| institution | BVB |
| isbn | 9781461536260 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030576911 |
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| publishDate | 1992 |
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| series2 | The Springer International Series in Engineering and Computer Science, Communications and Information Theory |
| spelling | Gersho, Allen Verfasser aut Vector Quantization and Signal Compression by Allen Gersho, Robert M. Gray Boston, MA Springer US 1992 1 Online-Ressource (XXIII, 732 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science, Communications and Information Theory 159 Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can the number of words in the quote be reduced without losing informa tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. This book is devoted to the theory and practice of signal compression, i. e. , data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity Engineering Electrical Engineering Signal, Image and Speech Processing Electrical engineering Datenkompression (DE-588)4121121-2 gnd rswk-swf Digitalsignal (DE-588)4113317-1 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Codierungstheorie (DE-588)4139405-7 gnd rswk-swf Vektorquantisierung (DE-588)4297551-7 gnd rswk-swf Codierungstheorie (DE-588)4139405-7 s Datenkompression (DE-588)4121121-2 s Digitalsignal (DE-588)4113317-1 s 1\p DE-604 Signalverarbeitung (DE-588)4054947-1 s 2\p DE-604 Vektorquantisierung (DE-588)4297551-7 s 3\p DE-604 Gray, Robert M. aut Erscheint auch als Druck-Ausgabe 9781461366126 https://doi.org/10.1007/978-1-4615-3626-0 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Gersho, Allen Gray, Robert M. Vector Quantization and Signal Compression Engineering Electrical Engineering Signal, Image and Speech Processing Electrical engineering Datenkompression (DE-588)4121121-2 gnd Digitalsignal (DE-588)4113317-1 gnd Signalverarbeitung (DE-588)4054947-1 gnd Codierungstheorie (DE-588)4139405-7 gnd Vektorquantisierung (DE-588)4297551-7 gnd |
| subject_GND | (DE-588)4121121-2 (DE-588)4113317-1 (DE-588)4054947-1 (DE-588)4139405-7 (DE-588)4297551-7 |
| title | Vector Quantization and Signal Compression |
| title_auth | Vector Quantization and Signal Compression |
| title_exact_search | Vector Quantization and Signal Compression |
| title_full | Vector Quantization and Signal Compression by Allen Gersho, Robert M. Gray |
| title_fullStr | Vector Quantization and Signal Compression by Allen Gersho, Robert M. Gray |
| title_full_unstemmed | Vector Quantization and Signal Compression by Allen Gersho, Robert M. Gray |
| title_short | Vector Quantization and Signal Compression |
| title_sort | vector quantization and signal compression |
| topic | Engineering Electrical Engineering Signal, Image and Speech Processing Electrical engineering Datenkompression (DE-588)4121121-2 gnd Digitalsignal (DE-588)4113317-1 gnd Signalverarbeitung (DE-588)4054947-1 gnd Codierungstheorie (DE-588)4139405-7 gnd Vektorquantisierung (DE-588)4297551-7 gnd |
| topic_facet | Engineering Electrical Engineering Signal, Image and Speech Processing Electrical engineering Datenkompression Digitalsignal Signalverarbeitung Codierungstheorie Vektorquantisierung |
| url | https://doi.org/10.1007/978-1-4615-3626-0 |
| work_keys_str_mv | AT gershoallen vectorquantizationandsignalcompression AT grayrobertm vectorquantizationandsignalcompression |