Fr. 237.60

Acoustic Echo and Noise Control - A Practical Approach

English · Hardback

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Zusatztext "This book cannot be praised enough...this book is a must have reference for digital signal processing (DSP) designers in multimedia! and perhaps for DSP students! as a golden mine for projects."Computing Reviews Informationen zum Autor EBERHARD HÄNSLER , Dr.-Ing., is Professor of Electrical Engineering at the Darmstadt University of Technology, Darmstadt, Germany. GERHARD SCHMIDT, Dr.-Ing., is a Research Engineer at Temic Speech Dialog Systems in Ulm, Germany. Klappentext Authors are well known and highly recognized by the "acoustic echo and noise community."Presents a detailed description of practical methods to control echo and noiseDevelops a statistical theory for optimal control parameters and presents practical estimation and approximation methods Zusammenfassung Authors are well known and highly recognized by the "acoustic echo and noise community."Presents a detailed description of practical methods to control echo and noiseDevelops a statistical theory for optimal control parameters and presents practical estimation and approximation methods Inhaltsverzeichnis List of Figures. List of Tables. Preface. Acknowledgments. Abbreviations and Acronyms. Part I: Basics. 1 Introduction. 1.1 Some History. 1.2 Overview of the Book. 2 Acoustic Echo and Noise Control Systems. 2.1 Notation. 2.2 Applications. 3 Fundamentals. 3.1 Signals. 3.2 Acoustic Echoes. 3.3 Standards. Part II: Algorithms. 4 Error Criteria and Cost Functions. 4.1 Error Criteria for Adaptive Filters. 4.2 Error Criteria for Filter Design. 4.3 Error Criteria for Speech Processing and Control Purposes. 5 Wiener Filter. 5.1 Time-Domain Solution. 5.2 Frequency-Domain Solution. 6 Linear Prediction. 6.1 Normal Equations. 6.2 Levinson{Durbin Recursion. 7 Algorithms for Adaptive Filters. 7.1 The Normalized Least Mean Square Algorithm. 7.2 The Affine Projection Algorithm. 7.3 The Recursive Least Squares Algorithm. 7.4 The Kalman Algorithm. Part III: Acoustic Echo and Noise Control. 8 Traditional Methods for Stabilization of Electroacoustic Loops. 8.1 Adaptive Line Enhancement. 8.2 Frequency Shift. 8.3 Controlled Attenuation. 9 Echo Cancellation . 9.1 Processing Structures. 9.2 Stereophonic and Multichannel Echo Cancellation. 10 Residual Echo and Noise Suppression. 10.1 Basics. 10.2 Suppression of Residual Echoes. 10.3 Suppression of Background Noise. 10.4 Combining Background Noise and Residual Echo Suppression. 11 Beamforming. 11.1 Basics. 11.2 Characteristics of Microphone Arrays. 11.3 Fixed Beamforming. 11.4 Adaptive Beamforming. Part IV: Control and Implementation Issues. 12 System Control-Basic Aspects. 12.1 Convergence versus Divergence Speed. 12.2 System Levels for Control Design. 13 Control of Echo Cancellation Systems. 13.1 Pseudooptimal Control Parameters for the NLMS Algorithm. 13.2 Pseudooptimal Control Parameters for the Affine Projection Algorithm. 13.3 Summary of Pseudooptimal Control Parameters. 13.4 Detection and Estimation Methods. 13.5 Detector Overview and Combined Control Methods. 14 Control of Noise and Echo Suppression Systems. 14.1 Estimation of Spectral Power Density of Background Noise. 14.2 Musical Noise. 14.3 Control of Filter Characteristics. 15 Control for Beam...

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