Control and Dynamic Systems: Stochastic Techniques in Digital Signal Processing Systems v.64

Control and Dynamic Systems: Stochastic Techniques in Digital Signal Processing Systems v.64 : Advances in Theory and Applications

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Description

In this publication the recent advances in the field of modern control theory are covered and presented. This volume is intended for electrical engineers investigating digital signal processing, especially applied fields in communications, spectral analysis and image processing for example.
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Product details

  • Hardback | 419 pages
  • 159 x 235 x 25.4mm | 753g
  • Academic Press Inc
  • San Diego, United States
  • English
  • index
  • 0120127644
  • 9780120127641

Table of contents

Spatio-temporal filtering and equalization for cyclostationary signals, S.V. Schell and W.A. Gardner; on the spectrogram and Windows, S. Kadambe; a state-space approach to stochastic time series modelling, T.W. Flint et al; digital signalling processing techniques for estimating the input and parameters of non-minimum phase ARMA processes, T. Yahagi; computational aspects of higher order spectrum, S.C. Chan et al; the Nehari shuffle and minimax FIR filter design, P.J. Kootsookos and R.R. Bitmead; techniques in optimum weighted smoothing, V.U. Reddy and K.C. Indukumar; derivation and design of Weiner filters using polynomial equations, A. Ahlen and M. Sternad.
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