Linear Algebra for Signal Processing
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 applicati...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
1995, 1995
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| Edition: | 1st ed. 1995 |
| Series: | The IMA Volumes in Mathematics and its Applications
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- Structured matrices and inverses
- Structured condition numbers for linear matrix structures
- The canonical correlations of matrix pairs and their numerical computation
- Continuity of the joint spectral radius: Application to wavelets
- Inversion of generalized Cauchy matrices and other classes of structured matrices
- Wavelets, filter banks, and arbitrary tilings of the time-frequency plane
- Systolic algorithms for adaptive signal processing
- Adaptive algorithms for blind channel equalization
- Square-root algorithms for structured matrices, interpolation, and completion problems