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American Poems: Books: Detection Estimation and Modulation Theory, Detection, Estimation, and Filtering Theory
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 Home » Books » Detection Estimation and Modulation Theory, Detection, Estimation, and Filtering Theory

Detection Estimation and Modulation Theory, Detection, Estimation, and Filtering Theory

  • List Price: $110.00
  • Buy New: $80.46
  • as of 8/23/2014 12:51 EDT details
  • You Save: $29.54 (27%)
In Stock
New (37) Used (13) from $80.35
  • Seller:EinsteinApplestore
  • Sales Rank:1,158,944
  • Languages:English (Unknown), English (Original Language), English (Published)
  • Media:Hardcover
  • Number Of Items:1
  • Edition:2nd Edition, Part I
  • Pages:1176
  • Shipping Weight (lbs):4.7
  • Dimensions (in):9.8 x 7.1 x 2.4
  • Publication Date:April 15, 2013
  • ISBN:0470542969
  • EAN:9780470542965
  • ASIN:0470542969
Availability:Usually ships in 1-2 business days

Features:
  • Used Book in Good Condition


Editorial Reviews:
Synopsis
Originally published in 1968, Harry Van Trees’s Detection, Estimation, and Modulation Theory, Part I is one of the great time-tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimum signal processing as it was over thirty years ago. The second edition is a thorough revision and expansion almost doubling the size of the first edition and accounting for the new developments thus making it again the most comprehensive and up-to-date treatment of the subject.

With a wide range of applications such as radar, sonar, communications, seismology, biomedical engineering, and radar astronomy, among others, the important field of detection and estimation has rarely been given such expert treatment as it is here. Each chapter includes section summaries, realistic examples, and a large number of challenging problems that provide excellent study material. This volume which is Part I of a set of four volumes is the most important and widely used textbook and professional reference in the field.


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