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Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (v. 1)

Steven M. Kay




[PDF.kd23] Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (v. 1)

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 | #278920 in Books |  1993-04-05 | Original language:English | PDF # 1 |  9.40 x1.00 x7.10l,2.17 | File type: PDF | 625 pages

||7 of 7 people found the following review helpful.| great textbook for class or for self study|By Daniel MMM|Wonderful book. Explanations are clear and examples are plenty and very insightful. The author's prose is somewhat spartan but very accessible and to the point. It is a book for studying and reading with a pen and pencil while working through the exercises as you stride along. One can definitely learn a lot about estimati|.com |This text is geared towards a one-semester graduate-level course in statistical signal processing and estimation theory. The author balances technical detail with practical and implementation issues, delivering an exposition that is both theoretically rig

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 inf...

You easily download any file type for your gadget.Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (v. 1)   |  Steven M. Kay. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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