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Fundamentals of Statistical Processing: Estimation Theory, Volume 1

Fundamentals of Statistical Processing: Estimation Theory, Volume 1 - Hardcover

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Availability:In StockContributor:Steven KaySeries:Prentice Hall Signal Processing SeriesPublish date:1993-04-05Pages:608
Languages:EnglishPublisher:PearsonISBN-13:9780133457117ISBN-10:133457117UPC:9780133457117Book Category:Science, Technology & EngineeringBook Subcategory:Mechanics, Telecommunications, ElectricalSize:9.50 x 7.25 x 1.10 inchesWeight:2.17Product ID:SCXGFW99X5

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.


Languages:EnglishPublisher:PearsonISBN-13:9780133457117ISBN-10:133457117UPC:9780133457117Book Category:Science, Technology & EngineeringBook Subcategory:Mechanics, Telecommunications, ElectricalSize:9.50 x 7.25 x 1.10 inchesWeight:2.17Product ID:SCXGFW99X5
Publisher: Pearson

Contributor(s)

Steven Kay

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