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.
| ISBN: | 9781461287032 |
| Publication date: | 7th October 2011 |
| Author: | Adam Bojanczyk, George Cybenko |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 184 pages |
| Series: | The IMA Volumes in Mathematics and Its Applications |
| Genres: |
Electronics engineering Digital signal processing (DSP) Mathematics |
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.
Linear Algebra for Signal Processing features in the following genres: Electronics engineering, Digital signal processing (DSP), Mathematics
Paperback. Not Available.
Linear Algebra for Signal Processing was written by Adam Bojanczyk, George Cybenko and published by Springer an imprint of Springer New York
Linear Algebra for Signal Processing has 184 pages
Yes it is part of The IMA Volumes in Mathematics and Its Applications series