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Adaptive Signal Processing (Paperback, 1991)
Loot Price: R1,564
Discovery Miles 15 640
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Adaptive Signal Processing (Paperback, 1991)
Series: CISM International Centre for Mechanical Sciences, 324
Expected to ship within 10 - 15 working days
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The four chapters of this volume, written by prominent workers in
the field of adaptive processing and linear prediction, address a
variety of problems, ranging from adaptive source coding to
autoregressive spectral estimation. The first chapter, by T.C.
Butash and L.D. Davisson, formulates the performance of an adaptive
linear predictor in a series of theorems, with and without the
Gaussian assumption, under the hypothesis that its coefficients are
derived from either the (single) observation sequence to be
predicted (dependent case) or a second, statistically independent
realisation (independent case). The contribution by H.V. Poor
reviews three recently developed general methodologies for
designing signal predictors under nonclassical operating
conditions, namely the robust predictor, the high-speed Levinson
modeling, and the approximate conditional mean nonlinear predictor.
W. Wax presents the key concepts and techniques for detecting,
localizing and beamforming multiple narrowband sources by passive
sensor arrays. Special coding algorithms and techniques based on
the use of linear prediction now permit high-quality voice
reproduction at remorably low bit rates. The paper by A. Gersho
reviews some of the main ideas underlying the algorithms of major
interest today.
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