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A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. MARKETS: 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.
eBook details
- Title: Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (v. 1)
- Author : Steven M. Kay
- Release Date : *
- Genre: Books,Engineering & Transportation,Engineering
- Pages : * pages
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