Fundamentals of Statistical Processing, Volume I: Estimation Theory (Prentice Hall Signal Processing Series) (Hardcover)

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Description


A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. KEY TOPICS: 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.

Product Details
ISBN: 9780133457117
ISBN-10: 0133457117
Publisher: Pearson
Publication Date: March 26th, 1993
Pages: 608
Language: English
Series: Prentice Hall Signal Processing Series