Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory

by Steven M. Kay

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.

Genres: Academic, Mathematics

Hardcover

First published March 26, 1993

Reviews

[Kurt Cantrell · Rating 4 out of 5]

The textbook covers the topic well, but the lack of a clear solutions manual associated with the example problems was a major pain.

[Ali Frz · Rating 3 out of 5]

Not the best, but useful

[Prasanth]

I think it may be useful for my research.