Description

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.

Fundamentals of Statistical Processing: Estimation Theory, Volume 1

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Hardback by Steven Kay

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For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals -... Read more

    Publisher: Pearson Education (US)
    Publication Date: 08/05/1993
    ISBN13: 9780133457117, 978-0133457117
    ISBN10: 0133457117

    Number of Pages: 608

    Non Fiction , Computing

    Description

    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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