For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals - radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.
A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.
| ISBN: | 9780133457117 |
| Publication date: | 8th May 1993 |
| Author: | Steven M Kay |
| Publisher: | Pearson an imprint of Pearson Education |
| Format: | Hardback |
| Pagination: | 595 pages |
| Genres: |
Digital signal processing (DSP) |
For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals - radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc. A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.
Fundamentals of Statistical Signal Processing features in the following genres: Digital signal processing (DSP)
Hardback, Paperback. Not Available.
Fundamentals of Statistical Signal Processing was written by Steven M Kay and published by Pearson an imprint of Pearson Education
Fundamentals of Statistical Signal Processing has 595 pages