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About Adaptive Filtering Primer with MATLAB

Explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. This book introduces discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm.

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  • Language:
  • English
  • ISBN:
  • 9781138417939
  • Binding:
  • Hardback
  • Pages:
  • 238
  • Published:
  • July 26, 2017
  • Dimensions:
  • 152x229x0 mm.
  • Weight:
  • 453 g.
Delivery: 2-3 weeks
Expected delivery: November 20, 2024

Description of Adaptive Filtering Primer with MATLAB

Explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. This book introduces discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm.

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