05510nam 2200709 450 991014605950332120221206220953.01-280-27283-X97866102728390-470-31483-40-471-67839-20-471-67840-610.1002/0471678406(CKB)1000000000019075(EBL)224930(OCoLC)57599449(SSID)ssj0000096734(PQKBManifestationID)11114401(PQKBTitleCode)TC0000096734(PQKBWorkID)10082620(PQKB)10362095(MiAaPQ)EBC224930(CaBNVSL)mat05224645(IDAMS)0b00006481071358(IEEE)5224645(Au-PeEL)EBL224930(CaPaEBR)ebr10114117(CaONFJC)MIL27283(PPN)253404169(EXLCZ)99100000000001907520151221d2005 uy engurcn|||||||||txtccrAcoustic echo and noise control a practical approach /Eberhard Haensler, Gerhard SchmidtHoboken, New Jersey :Wiley-Interscience,c2004.[Piscataqay, New Jersey] :IEEE Xplore,[2005]1 online resource (474 p.)Adaptive and learning systems for signal processing, communications and control series ;40Description based upon print version of record.0-471-45346-3 Includes bibliographical references (p. 423-440) and index.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 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.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 noise Develops a statistical theory for optimal control parameters and presents practical estimation and approximation methods.Adaptive and learning systems for signal processing, communications, and control ;40Echo suppression (Telecommunication)Acoustical engineeringEcho suppression (Telecommunication)Acoustical engineering.621.382/24Hèansler E.(Eberhard)845903Schmidt Gerhard358999CaBNVSLCaBNVSLCaBNVSLBOOK9910146059503321Acoustic echo and noise control1888775UNINA03156nam 2200421 450 991071464580332120230616162022.0(CKB)4950000000072678(NjHacI)994950000000072678(OCoLC)1139344564(EXLCZ)99495000000007267820230616d2009 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierEnvironmental Quality Incentives Program (EQIP) Status and Issues (R40197) /Megan Stubbs[Library of Congress public edition].Washington, D.C. :Congressional Research Service, Library of Congress,2009.1 online resource (12 unnumbered pages)CRS report for CongressThe CRS report home page provides access to all versions published since 2018 in accordance with P.L. 115-141; earliest version dated 2011.Report includes illustrations.Report includes bibliographical references.EQIP is the largest agriculture conservation program for working lands.3 The program encourages farmers and ranchers to participate in conservation efforts by paying a portion of the cost of installing or constructing approved conservation practices. [...] EQIP was amended and reauthorized in both the 2002 and 2008 farm bills.4 The U. S. Department of Agriculture's Natural Resources Conservation Service (NRCS) administers EQIP under a final rule.5 NRCS implemented EQIP by establishing national priorities to reflect the most pressing natural resource needs and emphasize offsite benefits to the environment. [...] The FY2010 appropriations act (Agriculture, Rural Development, Food and Drug Administration, and Related Agencies Appropriations Act of 2010, P. L. 111-80) limited EQIP to $1.18 billion for FY2010-a reduction of $270 million from the authorized level of $1.45 billion in the 2008 farm bill.11 For FY2011, the Administration has proposed a limit of $1.208 billion-a reduction of $380 million from the [...] As shown in Figure 1, the authorized funding level has continued to increase since the 2002 farm bill; however, annual appropriations acts have reduced the actual funding levels by a total of nearly $1.6 billion from FY2005 through FY2010.19 With the 111th Congress facing tighter budget constraints, similar cuts to EQIP could be considered either in the appropriations process or by the authorizing [...] Most of the concern about the child nutrition bill appears to revolve around the proposed reduction of EQIP funding to offset the bill's funding increases.CRS report for Congress.Incentives in conservation of natural resourcesIncentives in conservation of natural resources.658.3142Stubbs Megan1366630Library of Congress.Congressional Research Service,NjHacINjHaclBOOK9910714645803321Environmental Quality Incentives Program (EQIP)3389271UNINA