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Digital signal processing / John G. Proakis

Public ISBD Titre : Digital signal processing : principles,algorithms, and application Type de document : texte imprimé Auteurs : John G. Proakis, Auteur ; Dimitris G. Manolakis, Auteur Mention d'édition : 4 th. ed. Editeur : Upper Saddle River, New Jersey : Pearson/Prentice Hall Année de publication : 2007 Importance : 1084 p. Présentation : couv. ill. en coul., ill. Format : 25 cm. ISBN/ISSN/EAN : 978-0-13-187374-2 Langues : Anglais (eng) Index. décimale : 25-05 Application du traitement numérique du signal Résumé : A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing. Note de contenu : Contents: 1 Introduction 1.1 Signals, Systems, and Signal Processing 1.2 Classification of Signals 1.3 The Concept of Frequency in Continuous-Time and Discrete-Time Signals 1.4 Analog-to-Digital and Digital-to-Analog Conversion 1.5 Summary and References 2 Discrete-Time Signals And Systems 2.1 Discrete-Time Signals 2.2 Discrete-Time Systems 2.3 Analysis of Discrete-Time Linear Time-Invariant systems 2.4 Discrete-Time Systems Described by Difference Equations 2.5 Implementation of Discrete-Time Systems 2.6 Correlation of Discrete-Time Signals 2.7 Summary and References 3 The Z-Transform And Its Application To The Analysis Of Lti Systems 3.1 The z-Transform 3.2 Properties of the z-Transform 3.3 Rational z-Transforms 3.4 Inversion of the z-Transform 3.5 Analysis of Linear Time Invariant Systems in the z-Domain 3.6 The One-sided z-Transform 3.7 Summary and References 4 Frequency Analysis Of Signals And Systems 4.1 Frequency Analysis of Continuous-Time Signals 4.2 Frequency Analysis of Discrete-Time Signals 4.3 Frequency-Domain and Time-Domain Signal Properties 4.4 Properties of the Fourier Transform for Discrete-Time Signals 4.5 Summary and References 5 Frequency Domain Analysis Of Lti Systems 5.1 Frequency-Domain Characteristics of Linear Time-Invariant Systems 5.2 Frequency Response of LTI Systems 5.3 Correlation Functions and Spectra at the Output of LTI Systems 5.4 Linear Time-Invariant Systems as Frequency-Selective Filters 5.5 Inverse Systems and Deconvolution 5.6 Summary and References 6 Sampling And Reconstruction Of Signals 6.1 Ideal Sampling and Reconstruction of Continuous-Time Signals 6.2 Discrete-Time Processing of Continuous-Time Signals 6.3 Analog-to-Digital and Digital-to-Analog Converters 6.4 Sampling and Reconstruction of Continuous-Time Bandpass Signals 6.5 Sampling of Discrete-Time Signals 6.6 Oversampling A/D and D/A Converters 6.7 Summary and References 7 The Discrete Fourier Transform: Its Properties And Applications 7.1 Frequency Domain Sampling:The Discrete Fourier Transform 7.2 Properties of the DFT 7.3 Linear Filtering Methods Based on the DFT 7.4 Frequency Analysis of Signals Using the DFT 7.5 The Discrete Cosine Transform 7.6 Summary and References 8 Efficient Computaiton Of The Dft: Fast Fourier Transform Algorithms 8.1 Efficient Computation of the DFT: FFT Algorithms 8.2 Applications of FFT Algorithms 8.3 A Linear Filtering Approach to Computation of the DFT 8.4 Quantization Effects in the Computation of the DFT 8.5 Summary and References 9 Implementation Of Discrete-Time Systems 9.1 Structures for the Realization of Discrete-Time Systems 9.2 Structures for FIR Systems 9.3 Structures for IIR Systems 9.4 Representation of Numbers 9.5 Quantization of Filter Coefficients 9.6 Round-Off Effects in Digital Filters 9.7 Summary and References 10 Design Of Digital Filers 10.1 General Considerations 10.2 Design of FIR Filters 10.3 Design of IIR Filters From Analog Filters 10.4 Frequency Transformations 10.5 Summary and References 11 Multirate Digital Signal Processing 11.1 Introduction 11.2 Decimation by a Factor D 11.3 Interpolation by a Factor I 11.4 Sampling Rate Conversion by a Rational Factor I/D 11.5 Implementation of Sampling Rate Conversion 11.6 Multistage Implementation of Sampling Rate Conversion 11.7 Sampling Rate Conversion of Bandpass Signals 11.8 Sampling Rate conversion by an Arbitrary Factor 11.9 Applications of Sampling Rate Conversion 11.10 Digital Filter Banks 11.11 Two-Channel Quadrature Mirror Filter Bank 11.12 M-Channel QMF Bank 11.13 Summary and References 12 Linear Prediction And Optimum Linear Filters 12.1 Random Signals, Correlation Functions and Power Spectra 12.2 Innovations Representation of a Stationary Random Process 12.3 Forward and Backward Linear Prediction 12.4 Solution of the Normal Equations 12.5 Properties of the Linear Prediction-Error Filters 12.6 AR Lattice and ARMA Lattice-Ladder Filters 12.7 Wiener Filters for Filtering and Prediction 12.8 Summary and References 13 Adaptive Filters 13.1 Applications of Adaptive Filters 13.2 Adaptive Direct-Form FIR Filters-The LMS Algorithm 13.3 Adaptive Direct-Form FIR Filters-RLS Algorithms 13.4 Adaptive Lattice-Ladder Filters 13.5 Summary and References 14 Power Spectrum Estimation 14.1 Estimation of Spectra from Finite-Duration Observations of Signals 14.2 Nonparametric Methods for Power Spectrum Estimation 14.3 Parametric Methods for Power Spectrum Estimation 14.4 Filter Bank Methods 14.5 Eigenanalysis Algorithms for Spectrum Estimation 14.6 Summary and References Appendices Appendix A Random Number Generators Appendix B Tables of Transition Coefficients for the Design of Linear-Phase Filters References and Bibliography Index Digital signal processing : principles,algorithms, and application [texte imprimé] / John G. Proakis, Auteur ; Dimitris G. Manolakis, Auteur  . -  4 th. ed. . - Upper Saddle River, New Jersey : Pearson/Prentice Hall, 2007 . - 1084 p. : couv. ill. en coul., ill. ; 25 cm. ISBN : 978-0-13-187374-2 Langues : Anglais (eng) Index. décimale : 25-05 Application du traitement numérique du signal Résumé : A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing. Note de contenu : Contents: 1 Introduction 1.1 Signals, Systems, and Signal Processing 1.2 Classification of Signals 1.3 The Concept of Frequency in Continuous-Time and Discrete-Time Signals 1.4 Analog-to-Digital and Digital-to-Analog Conversion 1.5 Summary and References 2 Discrete-Time Signals And Systems 2.1 Discrete-Time Signals 2.2 Discrete-Time Systems 2.3 Analysis of Discrete-Time Linear Time-Invariant systems 2.4 Discrete-Time Systems Described by Difference Equations 2.5 Implementation of Discrete-Time Systems 2.6 Correlation of Discrete-Time Signals 2.7 Summary and References 3 The Z-Transform And Its Application To The Analysis Of Lti Systems 3.1 The z-Transform 3.2 Properties of the z-Transform 3.3 Rational z-Transforms 3.4 Inversion of the z-Transform 3.5 Analysis of Linear Time Invariant Systems in the z-Domain 3.6 The One-sided z-Transform 3.7 Summary and References 4 Frequency Analysis Of Signals And Systems 4.1 Frequency Analysis of Continuous-Time Signals 4.2 Frequency Analysis of Discrete-Time Signals 4.3 Frequency-Domain and Time-Domain Signal Properties 4.4 Properties of the Fourier Transform for Discrete-Time Signals 4.5 Summary and References 5 Frequency Domain Analysis Of Lti Systems 5.1 Frequency-Domain Characteristics of Linear Time-Invariant Systems 5.2 Frequency Response of LTI Systems 5.3 Correlation Functions and Spectra at the Output of LTI Systems 5.4 Linear Time-Invariant Systems as Frequency-Selective Filters 5.5 Inverse Systems and Deconvolution 5.6 Summary and References 6 Sampling And Reconstruction Of Signals 6.1 Ideal Sampling and Reconstruction of Continuous-Time Signals 6.2 Discrete-Time Processing of Continuous-Time Signals 6.3 Analog-to-Digital and Digital-to-Analog Converters 6.4 Sampling and Reconstruction of Continuous-Time Bandpass Signals 6.5 Sampling of Discrete-Time Signals 6.6 Oversampling A/D and D/A Converters 6.7 Summary and References 7 The Discrete Fourier Transform: Its Properties And Applications 7.1 Frequency Domain Sampling:The Discrete Fourier Transform 7.2 Properties of the DFT 7.3 Linear Filtering Methods Based on the DFT 7.4 Frequency Analysis of Signals Using the DFT 7.5 The Discrete Cosine Transform 7.6 Summary and References 8 Efficient Computaiton Of The Dft: Fast Fourier Transform Algorithms 8.1 Efficient Computation of the DFT: FFT Algorithms 8.2 Applications of FFT Algorithms 8.3 A Linear Filtering Approach to Computation of the DFT 8.4 Quantization Effects in the Computation of the DFT 8.5 Summary and References 9 Implementation Of Discrete-Time Systems 9.1 Structures for the Realization of Discrete-Time Systems 9.2 Structures for FIR Systems 9.3 Structures for IIR Systems 9.4 Representation of Numbers 9.5 Quantization of Filter Coefficients 9.6 Round-Off Effects in Digital Filters 9.7 Summary and References 10 Design Of Digital Filers 10.1 General Considerations 10.2 Design of FIR Filters 10.3 Design of IIR Filters From Analog Filters 10.4 Frequency Transformations 10.5 Summary and References 11 Multirate Digital Signal Processing 11.1 Introduction 11.2 Decimation by a Factor D 11.3 Interpolation by a Factor I 11.4 Sampling Rate Conversion by a Rational Factor I/D 11.5 Implementation of Sampling Rate Conversion 11.6 Multistage Implementation of Sampling Rate Conversion 11.7 Sampling Rate Conversion of Bandpass Signals 11.8 Sampling Rate conversion by an Arbitrary Factor 11.9 Applications of Sampling Rate Conversion 11.10 Digital Filter Banks 11.11 Two-Channel Quadrature Mirror Filter Bank 11.12 M-Channel QMF Bank 11.13 Summary and References 12 Linear Prediction And Optimum Linear Filters 12.1 Random Signals, Correlation Functions and Power Spectra 12.2 Innovations Representation of a Stationary Random Process 12.3 Forward and Backward Linear Prediction 12.4 Solution of the Normal Equations 12.5 Properties of the Linear Prediction-Error Filters 12.6 AR Lattice and ARMA Lattice-Ladder Filters 12.7 Wiener Filters for Filtering and Prediction 12.8 Summary and References 13 Adaptive Filters 13.1 Applications of Adaptive Filters 13.2 Adaptive Direct-Form FIR Filters-The LMS Algorithm 13.3 Adaptive Direct-Form FIR Filters-RLS Algorithms 13.4 Adaptive Lattice-Ladder Filters 13.5 Summary and References 14 Power Spectrum Estimation 14.1 Estimation of Spectra from Finite-Duration Observations of Signals 14.2 Nonparametric Methods for Power Spectrum Estimation 14.3 Parametric Methods for Power Spectrum Estimation 14.4 Filter Bank Methods 14.5 Eigenanalysis Algorithms for Spectrum Estimation 14.6 Summary and References Appendices Appendix A Random Number Generators Appendix B Tables of Transition Coefficients for the Design of Linear-Phase Filters References and Bibliography Index

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Statistical and Adaptive Signal Processing / Dimitris G. Manolakis

Public ISBD Titre : Statistical and Adaptive Signal Processing : spectral estimation, signal modeling, adaptive filtering and array processing Type de document : texte imprimé Auteurs : Dimitris G. Manolakis, Auteur ; Vinay K. Ingle, Auteur ; Stephen M. Kogon, Auteur Editeur : Boston, London : Artech House Année de publication : 2005 Collection : Signal Processing Importance : 796 Présentation : couv. ill. en coul., ill. Format : 28,8 cm. ISBN/ISSN/EAN : 978-1-580-53610-3 Langues : Anglais (eng) Index. décimale : 25-05 Application du traitement numérique du signal Résumé : This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.; From the fundamentals of discrete-time signal processing and linear signal models, to optimum linear filters and least-squares filtering and prediction, you get in-depth information on a broad range of critical topics from leading experts in industry and academia. This invaluable reference provides clear examples, problem sets, and computer experiments that help you master the material and learn how to implement various methods presented in the book. You also find a set of MATLAB functions that illustrate the use of various techniques and can be used to solve real-world problems in the field Note de contenu : Contents Preface. 1 Introduction. 2 Fundamentals of Discrete-Time Signal Processing. 3 Random Variables, Vectors, and Sequences. 4 Linear Signal Models. 5 Nonparametric Power Spectrum Estimation. 6 Optimum Linear Filters. 7 Algorithms and Structures for Optimum Linear Filters. 8 Least-Squares Filtering and Prediction. 9 Signal Modeling and Parametric Spectral Estimation. 10 Adaptive Filters. 11 Array Processing. 12 Further Topics. Appendix A: Matrix Inversion Lemma. Appendix B: Gradients and Optimization in Complex Space. Appendix C: Matlab Functions. Appendix D: Useful Results from Matrix Algebra. Appendix E: Minimum Phase Test for Polynomials. Bibliography. Index. Statistical and Adaptive Signal Processing : spectral estimation, signal modeling, adaptive filtering and array processing [texte imprimé] / Dimitris G. Manolakis, Auteur ; Vinay K. Ingle, Auteur ; Stephen M. Kogon, Auteur . - Boston, London : Artech House, 2005 . - 796 : couv. ill. en coul., ill. ; 28,8 cm.. - (Signal Processing) . ISBN : 978-1-580-53610-3 Langues : Anglais (eng) Index. décimale : 25-05 Application du traitement numérique du signal Résumé : This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.; From the fundamentals of discrete-time signal processing and linear signal models, to optimum linear filters and least-squares filtering and prediction, you get in-depth information on a broad range of critical topics from leading experts in industry and academia. This invaluable reference provides clear examples, problem sets, and computer experiments that help you master the material and learn how to implement various methods presented in the book. You also find a set of MATLAB functions that illustrate the use of various techniques and can be used to solve real-world problems in the field Note de contenu : Contents Preface. 1 Introduction. 2 Fundamentals of Discrete-Time Signal Processing. 3 Random Variables, Vectors, and Sequences. 4 Linear Signal Models. 5 Nonparametric Power Spectrum Estimation. 6 Optimum Linear Filters. 7 Algorithms and Structures for Optimum Linear Filters. 8 Least-Squares Filtering and Prediction. 9 Signal Modeling and Parametric Spectral Estimation. 10 Adaptive Filters. 11 Array Processing. 12 Further Topics. Appendix A: Matrix Inversion Lemma. Appendix B: Gradients and Optimization in Complex Space. Appendix C: Matlab Functions. Appendix D: Useful Results from Matrix Algebra. Appendix E: Minimum Phase Test for Polynomials. Bibliography. Index.

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
2655	25-05-70	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2655
2656	25-05-70	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2656