LEADER 05510nam 2200709 450 001 9910146059503321 005 20221206220953.0 010 $a1-280-27283-X 010 $a9786610272839 010 $a0-470-31483-4 010 $a0-471-67839-2 010 $a0-471-67840-6 024 7 $a10.1002/0471678406 035 $a(CKB)1000000000019075 035 $a(EBL)224930 035 $a(OCoLC)57599449 035 $a(SSID)ssj0000096734 035 $a(PQKBManifestationID)11114401 035 $a(PQKBTitleCode)TC0000096734 035 $a(PQKBWorkID)10082620 035 $a(PQKB)10362095 035 $a(MiAaPQ)EBC224930 035 $a(CaBNVSL)mat05224645 035 $a(IDAMS)0b00006481071358 035 $a(IEEE)5224645 035 $a(Au-PeEL)EBL224930 035 $a(CaPaEBR)ebr10114117 035 $a(CaONFJC)MIL27283 035 $a(PPN)253404169 035 $a(EXLCZ)991000000000019075 100 $a20151221d2005 uy 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAcoustic echo and noise control $ea practical approach /$fEberhard Haensler, Gerhard Schmidt 210 1$aHoboken, New Jersey :$cWiley-Interscience,$dc2004. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2005] 215 $a1 online resource (474 p.) 225 1 $aAdaptive and learning systems for signal processing, communications and control series ;$v40 300 $aDescription based upon print version of record. 311 $a0-471-45346-3 320 $aIncludes bibliographical references (p. 423-440) and index. 327 $aList 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. 327 $a14 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 Beamforming -- 15.1 Practical Problems -- 15.2 Stepsize Control -- 16 Implementation Issues -- 16.1 Quantization Errors -- 16.2 Number Representation Errors -- 16.3 Arithmetical Errors -- 16.4 Fixed Point versus Floating Point -- 16.5 Quantization of Filter Taps -- Part V: Outlook and Appendixes -- 17 Outlook -- Appendix A: Subband Impulse Responses -- A.1 Consequences for Subband Echo Cancellation -- A.2 Transformation -- A.3 Concluding Remarks -- Appendix B: Filterbank Design -- B.1 Conditions for Approximately Perfect Reconstruction -- B.2 Filter Design Using a Product Approach -- B.3 Design of Prototype Lowpass Filters -- B.4 Analysis of Prototype Filters and the Filterbank System -- References -- Index. 330 $aAuthors are well known and highly recognized by the "acoustic echo and noise community." Presents a detailed description of practical methods to control echo and noise Develops a statistical theory for optimal control parameters and presents practical estimation and approximation methods. 410 0$aAdaptive and learning systems for signal processing, communications, and control ;$v40 606 $aEcho suppression (Telecommunication) 606 $aAcoustical engineering 615 0$aEcho suppression (Telecommunication) 615 0$aAcoustical engineering. 676 $a621.382/24 700 $aHe?ansler$b E.$g(Eberhard)$0845903 701 $aSchmidt$b Gerhard$0358999 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910146059503321 996 $aAcoustic echo and noise control$91888775 997 $aUNINA