Synopsis
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.
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From the Back Cover
For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples. Special features include over 230 problems...
"About this title" may belong to another edition of this title.
- PublisherPearson
- Publication date1993
- ISBN 10 0133457117
- ISBN 13 9780133457117
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages608
- Rating
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Fundamentals of Statistical Processing: Estimation Theory, Volume 1
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