Linear Algebra for Signal Processing
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Beschreibung
Signal processing applications have burgeoned in the past decade. During the same time, signal processing techniques have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This trend will continue as many new signal processing applications are opening up in consumer products and communications systems. In particular, signal processing has been making increasingly sophisticated use of linear algebra on both theoretical and algorithmic fronts. This volume gives particular emphasis to exposing broader contexts of the signal processing problems so that the impact of algorithms and hardware can be better understood; it brings together the writings of signal processing engineers, computer engineers, and applied linear algebraists in an exchange of problems, theories, and techniques. This volume will be of interest to both applied mathematicians and engineers.
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Über den Autor
- Taschenbuch
- 548 Seiten
- Erschienen 2020
- Vieweg+Teubner Verlag
- paperback
- 257 Seiten
- Erschienen 2008
- Industrial Press, Inc.
- hardcover
- 251 Seiten
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- De Gruyter
- paperback
- 462 Seiten
- Erschienen 2011
- Dover Pubn Inc
- Kartoniert
- 188 Seiten
- Erschienen 2020
- Springer Spektrum
- Hardcover -
- Erschienen 2006
- Vieweg+Teubner Verlag




