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Adaptive signal processing ...
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
Monografía
monografia Rebiun21467528 https://catalogo.rebiun.org/rebiun/record/Rebiun21467528 m o d cr cnu---unuuu 140710s1991 au a ob 000 0 eng d 9783709128404 electronic bk.) 3709128404 electronic bk.) 0387823336 9780387823331 3211823336 9783211823330 10.1007/978-3-7091-2840-4 doi UPVA 996968314903706 GW5XE eng rda pn GW5XE OCLCQ OCLCO OCLCA UAB OCLCQ AU@ OCLCO Adaptive signal processing edited by L.D. Davisson, G. Longo Wien New York Springer-Verlag [1991] Wien New York Wien New York Springer-Verlag ©1991 1 online resource (203 pages) illustrations 1 online resource (203 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier Courses and lectures number 324 At head of title: International Centre for Mechanical Sciences "This volume contains most of the contributions to the advanced school on adaptive prediction methods held at the International Centre for Mechanical Sciences, Udine, Italy, in July 1990"--Preface Includes bibliographical references 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 Adaptive signal processing Prediction theory Adaptive signal processing Prediction theory Prévision, théorie de la Adaptives System Signalverarbeitung Mathematics Physical Sciences & Mathematics Álgebra Electronic books Kongress Davisson, Lee D. Longo, G. Giuseppe) International Centre for Mechanical Sciences Print version Adaptive signal processing 0387823336 (OCoLC)26165054 Courses and lectures no. 324