Adaptive Signal Models Theory, Algorithms, and Audio Applications
Adaptive Signal Models: Theory, Algorithms and Audio Applications presents methods for deriving mathematical models of natural signals. The introduction covers the fundamentals of analysis-synthesis systems and signal representations. Some of the topics in the introduction include perfect and near-p...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Boston, MA
Springer US
1998
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| Schriftenreihe: | The Springer International Series in Engineering and Computer Science
467 |
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| Online-Zugang: | DE-634 URL des Erstveröffentlichers |
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| 100 | 1 | |a Goodwin, Michael M. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Adaptive Signal Models |b Theory, Algorithms, and Audio Applications |c by Michael M. Goodwin |
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| 490 | 0 | |a The Springer International Series in Engineering and Computer Science |v 467 | |
| 520 | |a Adaptive Signal Models: Theory, Algorithms and Audio Applications presents methods for deriving mathematical models of natural signals. The introduction covers the fundamentals of analysis-synthesis systems and signal representations. Some of the topics in the introduction include perfect and near-perfect reconstruction, the distinction between parametric and nonparametric methods, the role of compaction in signal modeling, basic and overcomplete signal expansions, and time-frequency resolution issues. These topics arise throughout the book as do a number of other topics such as filter banks and multiresolution. The second chapter gives a detailed development of the sinusoidal model as a parametric extension of the short-time Fourier transform. This leads to multiresolution sinusoidal modeling techniques in Chapter Three, where wavelet-like approaches are merged with the sinusoidal model to yield improved models. | ||
| 520 | |a In Chapter Four, the analysis-synthesis residual is considered; for realistic synthesis, the residual must be separately modeled after coherent components (such as sinusoids) are removed. The residual modeling approach is based on psychoacoustically motivated nonuniform filter banks. Chapter Five deals with pitch-synchronous versions of both the wavelet and the Fourier transform; these allow for compact models of pseudo-periodic signals. Chapter Six discusses recent algorithms for deriving signal representations based on time-frequency atoms; primarily, the matching pursuit algorithm is reviewed and extended. The signal models discussed in the book are compact, adaptive, parametric, time-frequency representations that are useful for analysis, coding, modification, and synthesis of natural signals such as audio. | ||
| 520 | |a The models are all interpreted as methods for decomposing a signal in terms of fundamental time-frequency atoms; these interpretations, as well as the adaptive and parametric natures of the models, serve to link the various methods dealt with in the text. Adaptive Signal Models: Theory, Algorithms and Audio Applications serves as an excellent reference for researchers of signal processing and may be used as a text for advanced courses on the topic | ||
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Datensatz im Suchindex
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| author | Goodwin, Michael M. |
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| dewey-full | 621.382 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
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| id | DE-604.BV045186112 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-24T06:51:38Z |
| institution | BVB |
| isbn | 9781441986283 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030575288 |
| oclc_num | 1053698801 |
| open_access_boolean | |
| owner | DE-634 |
| owner_facet | DE-634 |
| physical | 1 Online-Ressource (XVI, 248 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 1998 |
| publishDateSearch | 1998 |
| publishDateSort | 1998 |
| publisher | Springer US |
| record_format | marc |
| series2 | The Springer International Series in Engineering and Computer Science |
| spelling | Goodwin, Michael M. Verfasser aut Adaptive Signal Models Theory, Algorithms, and Audio Applications by Michael M. Goodwin Boston, MA Springer US 1998 1 Online-Ressource (XVI, 248 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 467 Adaptive Signal Models: Theory, Algorithms and Audio Applications presents methods for deriving mathematical models of natural signals. The introduction covers the fundamentals of analysis-synthesis systems and signal representations. Some of the topics in the introduction include perfect and near-perfect reconstruction, the distinction between parametric and nonparametric methods, the role of compaction in signal modeling, basic and overcomplete signal expansions, and time-frequency resolution issues. These topics arise throughout the book as do a number of other topics such as filter banks and multiresolution. The second chapter gives a detailed development of the sinusoidal model as a parametric extension of the short-time Fourier transform. This leads to multiresolution sinusoidal modeling techniques in Chapter Three, where wavelet-like approaches are merged with the sinusoidal model to yield improved models. In Chapter Four, the analysis-synthesis residual is considered; for realistic synthesis, the residual must be separately modeled after coherent components (such as sinusoids) are removed. The residual modeling approach is based on psychoacoustically motivated nonuniform filter banks. Chapter Five deals with pitch-synchronous versions of both the wavelet and the Fourier transform; these allow for compact models of pseudo-periodic signals. Chapter Six discusses recent algorithms for deriving signal representations based on time-frequency atoms; primarily, the matching pursuit algorithm is reviewed and extended. The signal models discussed in the book are compact, adaptive, parametric, time-frequency representations that are useful for analysis, coding, modification, and synthesis of natural signals such as audio. The models are all interpreted as methods for decomposing a signal in terms of fundamental time-frequency atoms; these interpretations, as well as the adaptive and parametric natures of the models, serve to link the various methods dealt with in the text. Adaptive Signal Models: Theory, Algorithms and Audio Applications serves as an excellent reference for researchers of signal processing and may be used as a text for advanced courses on the topic Engineering Signal, Image and Speech Processing Multimedia Information Systems Electrical Engineering Multimedia information systems Electrical engineering Signalumsetzung (DE-588)4191498-3 gnd rswk-swf Adaptive Signalverarbeitung (DE-588)4128146-9 gnd rswk-swf Algorithmus (DE-588)4001183-5 gnd rswk-swf Akustisches Signal (DE-588)4141783-5 gnd rswk-swf Akustisches Signal (DE-588)4141783-5 s Signalumsetzung (DE-588)4191498-3 s 1\p DE-604 Adaptive Signalverarbeitung (DE-588)4128146-9 s Algorithmus (DE-588)4001183-5 s 2\p DE-604 Erscheint auch als Druck-Ausgabe 9781461346500 https://doi.org/10.1007/978-1-4419-8628-3 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 |
| spellingShingle | Goodwin, Michael M. Adaptive Signal Models Theory, Algorithms, and Audio Applications Engineering Signal, Image and Speech Processing Multimedia Information Systems Electrical Engineering Multimedia information systems Electrical engineering Signalumsetzung (DE-588)4191498-3 gnd Adaptive Signalverarbeitung (DE-588)4128146-9 gnd Algorithmus (DE-588)4001183-5 gnd Akustisches Signal (DE-588)4141783-5 gnd |
| subject_GND | (DE-588)4191498-3 (DE-588)4128146-9 (DE-588)4001183-5 (DE-588)4141783-5 |
| title | Adaptive Signal Models Theory, Algorithms, and Audio Applications |
| title_auth | Adaptive Signal Models Theory, Algorithms, and Audio Applications |
| title_exact_search | Adaptive Signal Models Theory, Algorithms, and Audio Applications |
| title_full | Adaptive Signal Models Theory, Algorithms, and Audio Applications by Michael M. Goodwin |
| title_fullStr | Adaptive Signal Models Theory, Algorithms, and Audio Applications by Michael M. Goodwin |
| title_full_unstemmed | Adaptive Signal Models Theory, Algorithms, and Audio Applications by Michael M. Goodwin |
| title_short | Adaptive Signal Models |
| title_sort | adaptive signal models theory algorithms and audio applications |
| title_sub | Theory, Algorithms, and Audio Applications |
| topic | Engineering Signal, Image and Speech Processing Multimedia Information Systems Electrical Engineering Multimedia information systems Electrical engineering Signalumsetzung (DE-588)4191498-3 gnd Adaptive Signalverarbeitung (DE-588)4128146-9 gnd Algorithmus (DE-588)4001183-5 gnd Akustisches Signal (DE-588)4141783-5 gnd |
| topic_facet | Engineering Signal, Image and Speech Processing Multimedia Information Systems Electrical Engineering Multimedia information systems Electrical engineering Signalumsetzung Adaptive Signalverarbeitung Algorithmus Akustisches Signal |
| url | https://doi.org/10.1007/978-1-4419-8628-3 |
| work_keys_str_mv | AT goodwinmichaelm adaptivesignalmodelstheoryalgorithmsandaudioapplications |