| Linear Algebra for Signal Processing 1995 Edition Contributor(s): Bojanczyk, Adam (Editor), Cybenko, George (Editor) |
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ISBN: 0387944915 ISBN-13: 9780387944913 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: April 1995 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Mathematics - Gardening - Technology & Engineering | Telecommunications |
| Dewey: 510 |
| LCCN: 95002605 |
| Series: Ima Volumes in Mathematics and Its Applications |
| Physical Information: 0.5" H x 6.14" W x 9.21" (1.03 lbs) 184 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |