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  Fundamentals of Statistical Signal Processing: Estimation Theory v. 1 (Prentice Hall signal processing series) (Hardback) By (author) Steven M. Kay

  

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  Short Description for Fundamentals of Statistical Signal Processing: Estimation Theory v. 1Intended for practicing engineers and scientists who design and analyze signal processing systems. This work offers a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.
  Full description

  • Publisher: Prentice Hall
  • Published: 05 April 1993
  • Format: Hardback 625 pages
  • See: Full bibliographic data
  • Categories: Probability & Statistics | Applied Mathematics | Classical Mechanics | Electrical Engineering | Communications Engineering / Telecommunications | Signal Processing | Image Processing
  • ISBN 13: 9780133457117 ISBN 10: 0133457117
  • Sales rank: 509,623

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Full description for Fundamentals of Statistical Signal Processing: Estimation Theory v. 1

• 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.