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Título : A First Course in Statistics for Signal Analysis Tipo de documento: documento electrónico Autores: Wojbor A. Woyczynski ; SpringerLink (Online service) Editorial: Boston : Birkhäuser Boston Fecha de publicación: 2011 Número de páginas: XVI, 261 p. 76 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-8101-2 Idioma : Inglés (eng) Palabras clave: Statistics Fourier analysis Applied mathematics Engineering for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Analysis Signal, Image Speech Processing Statistical Theory Methods Applications of Mathematics Clasificación: 51 Matemáticas Resumen: 'A First Course in Statistics for Signal Analysis' is a small, dense, and inexpensive book that covers exactly what the title says: statistics for signal analysis. The book has much to recommend it. The author clearly understands the topics presented. The topics are covered in a rigorous manner, but not so rigorous as to be ostentatious. The sequence of topics is clearly targeted at the spectral properties of Gaussian stationary signals. Any student studying traditional communications and signal processing would benefit from an understanding of these topics...In summary, [the work] has much in its favor...This book is most appropriate for a graduate class in signal analysis. It also could be used as a secondary text in a statistics, signal processing, or communications class. —JASA> (Review of the First Edition) This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation. Topics and Features: Fourier series and transforms—fundamentally important in random signal analysis and processing—are developed from scratch, emphasizing the time-domain vs. frequency-domain duality; Basic concepts of probability theory, laws of large numbers, the central limit theorem, and statistical parametric inference procedures are presented so that no prior knowledge of probability and statistics is required; the only prerequisite is a basic two–three semester calculus sequence; Computer simulation algorithms of stationary random signals with a given power spectrum density; Complementary bibliography for readers who wish to pursue the study of random signals in greater depth; Many diverse examples and end-of-chapter problems and exercises. New to the Second Edition: Revised notation and terminology to better reflect the concepts under discussion; Many redrawn figures to better illustrate the scale of the quantities represented; Considerably expanded sections with new examples, illustrations, and commentary; Addition of more applied exercises; A large appendix containing solutions of selected problems from each of the nine chapters. Developed by the author over the course of many years of classroom use, A First Course in Statistics for Signal Analysis, Second Edition may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences. The work is also an excellent resource of educational and training material for scientists and engineers working in research laboratories Nota de contenido: Foreword to the Second Edition -- Introduction -- Notation -- Description of Signals -- Spectral Representation of Deterministic Signals: Fourier Series and Transforms -- Random Quantities and Random Vectors -- Stationary Signals -- Power Spectra of Random Signals -- Transmission of Stationary Signals through Linear Systems -- Optimization of Signal-to-Noise Ratio in Linear Systems -- Gaussian Signals, Covariance Matrices, and Sample Path Properties -- Spectral Representation of Discrete-Time Stationary Signals and Their Computer Simulations -- Solutions to Selected Exercises -- Bibliographical Comments -- Index En línea: http://dx.doi.org/10.1007/978-0-8176-8101-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33102 A First Course in Statistics for Signal Analysis [documento electrónico] / Wojbor A. Woyczynski ; SpringerLink (Online service) . - Boston : Birkhäuser Boston, 2011 . - XVI, 261 p. 76 illus : online resource.
ISBN : 978-0-8176-8101-2
Idioma : Inglés (eng)
Palabras clave: Statistics Fourier analysis Applied mathematics Engineering for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Analysis Signal, Image Speech Processing Statistical Theory Methods Applications of Mathematics Clasificación: 51 Matemáticas Resumen: 'A First Course in Statistics for Signal Analysis' is a small, dense, and inexpensive book that covers exactly what the title says: statistics for signal analysis. The book has much to recommend it. The author clearly understands the topics presented. The topics are covered in a rigorous manner, but not so rigorous as to be ostentatious. The sequence of topics is clearly targeted at the spectral properties of Gaussian stationary signals. Any student studying traditional communications and signal processing would benefit from an understanding of these topics...In summary, [the work] has much in its favor...This book is most appropriate for a graduate class in signal analysis. It also could be used as a secondary text in a statistics, signal processing, or communications class. —JASA> (Review of the First Edition) This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation. Topics and Features: Fourier series and transforms—fundamentally important in random signal analysis and processing—are developed from scratch, emphasizing the time-domain vs. frequency-domain duality; Basic concepts of probability theory, laws of large numbers, the central limit theorem, and statistical parametric inference procedures are presented so that no prior knowledge of probability and statistics is required; the only prerequisite is a basic two–three semester calculus sequence; Computer simulation algorithms of stationary random signals with a given power spectrum density; Complementary bibliography for readers who wish to pursue the study of random signals in greater depth; Many diverse examples and end-of-chapter problems and exercises. New to the Second Edition: Revised notation and terminology to better reflect the concepts under discussion; Many redrawn figures to better illustrate the scale of the quantities represented; Considerably expanded sections with new examples, illustrations, and commentary; Addition of more applied exercises; A large appendix containing solutions of selected problems from each of the nine chapters. Developed by the author over the course of many years of classroom use, A First Course in Statistics for Signal Analysis, Second Edition may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences. The work is also an excellent resource of educational and training material for scientists and engineers working in research laboratories Nota de contenido: Foreword to the Second Edition -- Introduction -- Notation -- Description of Signals -- Spectral Representation of Deterministic Signals: Fourier Series and Transforms -- Random Quantities and Random Vectors -- Stationary Signals -- Power Spectra of Random Signals -- Transmission of Stationary Signals through Linear Systems -- Optimization of Signal-to-Noise Ratio in Linear Systems -- Gaussian Signals, Covariance Matrices, and Sample Path Properties -- Spectral Representation of Discrete-Time Stationary Signals and Their Computer Simulations -- Solutions to Selected Exercises -- Bibliographical Comments -- Index En línea: http://dx.doi.org/10.1007/978-0-8176-8101-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33102 Ejemplares
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Título : A First Course in Statistics for Signal Analysis Tipo de documento: documento electrónico Autores: Wojbor A. Woyczynski ; SpringerLink (Online service) Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2006 Número de páginas: XIV, 208 p. 65 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4516-8 Idioma : Inglés (eng) Palabras clave: Statistics Fourier analysis Probabilities for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Signal, Image Speech Processing Analysis Probability Theory Stochastic Processes Clasificación: 51 Matemáticas Resumen: This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation. Topics and Features: *Fourier series and transforms—fundamentally important in random signal analysis and processing—are developed from scratch, emphasizing the time-domain vs. frequency-domain duality. *Basic concepts of probability theory, laws of large numbers, the stability of fluctuations law (central limit theorem), and statistical parametric inference procedures are presented so that no prior knowledge of probability and statistics is required; the only prerequisite is a basic two–three semester calculus sequence. *Introduction of the fundamental concept of a stationary random signal and its autocorrelation structure. *Power spectra of stationary signals and transmission analysis. *Filter design with optimal signal-to-noise ratio. *Computer simulation algorithms of stationary random signals with a given power spectrum density. *Complementary bibliography for readers who wish to pursue the study of random signals in greater depth. *Many diverse examples as well as end-of-chapter problems and exercises. Developed by the author over the course of several years of classroom use, A First Course in Statistics for Signal Analysis may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences. The work is also an excellent resource of educational and training material for scientists and engineers working in research laboratories Nota de contenido: Description of Signals -- Spectral Representation of Deterministic Signals: Fourier Series and Transforms -- Random Quantities and Random Vectors -- Stationary Signals -- Power Spectra of Stationary Signals -- Transmission of Stationary Signals through Linear Systems -- Optimization of Signal-to-Noise Ratio in Linear Systems -- Gaussian Signals, Correlation Matrices, and Sample Path Properties -- Discrete Signals and Their Computer Simulations En línea: http://dx.doi.org/10.1007/978-0-8176-4516-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34880 A First Course in Statistics for Signal Analysis [documento electrónico] / Wojbor A. Woyczynski ; SpringerLink (Online service) . - Boston, MA : Birkhäuser Boston, 2006 . - XIV, 208 p. 65 illus : online resource.
ISBN : 978-0-8176-4516-8
Idioma : Inglés (eng)
Palabras clave: Statistics Fourier analysis Probabilities for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Signal, Image Speech Processing Analysis Probability Theory Stochastic Processes Clasificación: 51 Matemáticas Resumen: This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation. Topics and Features: *Fourier series and transforms—fundamentally important in random signal analysis and processing—are developed from scratch, emphasizing the time-domain vs. frequency-domain duality. *Basic concepts of probability theory, laws of large numbers, the stability of fluctuations law (central limit theorem), and statistical parametric inference procedures are presented so that no prior knowledge of probability and statistics is required; the only prerequisite is a basic two–three semester calculus sequence. *Introduction of the fundamental concept of a stationary random signal and its autocorrelation structure. *Power spectra of stationary signals and transmission analysis. *Filter design with optimal signal-to-noise ratio. *Computer simulation algorithms of stationary random signals with a given power spectrum density. *Complementary bibliography for readers who wish to pursue the study of random signals in greater depth. *Many diverse examples as well as end-of-chapter problems and exercises. Developed by the author over the course of several years of classroom use, A First Course in Statistics for Signal Analysis may be used by junior/senior undergraduates or graduate students in electrical, systems, computer, and biomedical engineering, as well as the physical sciences. The work is also an excellent resource of educational and training material for scientists and engineers working in research laboratories Nota de contenido: Description of Signals -- Spectral Representation of Deterministic Signals: Fourier Series and Transforms -- Random Quantities and Random Vectors -- Stationary Signals -- Power Spectra of Stationary Signals -- Transmission of Stationary Signals through Linear Systems -- Optimization of Signal-to-Noise Ratio in Linear Systems -- Gaussian Signals, Correlation Matrices, and Sample Path Properties -- Discrete Signals and Their Computer Simulations En línea: http://dx.doi.org/10.1007/978-0-8176-4516-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34880 Ejemplares
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Título : Four Short Courses on Harmonic Analysis : Wavelets, Frames, Time-Frequency Methods, and Applications to Signal and Image Analysis Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Brigitte Forster ; Peter Massopust Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2010 Colección: Applied and Numerical Harmonic Analysis, ISSN 2296-5009 Número de páginas: XVIII, 249 p. 36 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4891-6 Idioma : Inglés (eng) Palabras clave: Mathematics Harmonic analysis Fourier Physics Analysis Abstract Signal, Image and Speech Processing Theoretical, Mathematical Computational Clasificación: 51 Matemáticas Resumen: This state-of-the-art textbook examines four research directions in harmonic analysis and features some of the latest applications in the field, including cosmic microwave background analysis, human cortex image denoising, and wireless communication. The work is the first one that combines spline theory (from a numerical or approximation-theoretical view), wavelets, frames, and time-frequency methods leading up to a construction of wavelets on manifolds other than Rn. Written by internationally renowned mathematicians, the interdisciplinary chapters are expository by design, enabling the reader to understand the theory behind modern image and signal processing methodologies. The main emphasis throughout the book is on the interdependence of the four modern research directions covered. Each chapter ends with exercises that allow for a more in-depth understanding of the material and are intended to stimulate the reader toward further research. A comprehensive index completes the work. Topics covered: * Frames and bases in mathematics and engineering * Wavelets with composite dilations and their applications * Wavelets on the sphere and their applications * Wiener's Lemma: theme and variations Four Short Courses on Harmonic Analysis is intended as a graduate-level textbook for courses or seminars on harmonic analysis and its applications. The work is also an excellent reference or self-study guide for researchers and practitioners with diverse mathematical backgrounds working in different fields such as pure and applied mathematics, image and signal processing engineering, mathematical physics, and communication theory Nota de contenido: Introduction: Mathematical Aspects of Time-Frequency Analysis -- B-Spline Generated Frames -- Continuous and Discrete Reproducing Systems That Arise from Translations. Theory and Applications of Composite Wavelets -- Wavelets on the Sphere -- Wiener’s Lemma: Theme and Variations. An Introduction to Spectral Invariance and Its Applications En línea: http://dx.doi.org/10.1007/978-0-8176-4891-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33549 Four Short Courses on Harmonic Analysis : Wavelets, Frames, Time-Frequency Methods, and Applications to Signal and Image Analysis [documento electrónico] / SpringerLink (Online service) ; Brigitte Forster ; Peter Massopust . - Boston, MA : Birkhäuser Boston, 2010 . - XVIII, 249 p. 36 illus : online resource. - (Applied and Numerical Harmonic Analysis, ISSN 2296-5009) .
ISBN : 978-0-8176-4891-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Harmonic analysis Fourier Physics Analysis Abstract Signal, Image and Speech Processing Theoretical, Mathematical Computational Clasificación: 51 Matemáticas Resumen: This state-of-the-art textbook examines four research directions in harmonic analysis and features some of the latest applications in the field, including cosmic microwave background analysis, human cortex image denoising, and wireless communication. The work is the first one that combines spline theory (from a numerical or approximation-theoretical view), wavelets, frames, and time-frequency methods leading up to a construction of wavelets on manifolds other than Rn. Written by internationally renowned mathematicians, the interdisciplinary chapters are expository by design, enabling the reader to understand the theory behind modern image and signal processing methodologies. The main emphasis throughout the book is on the interdependence of the four modern research directions covered. Each chapter ends with exercises that allow for a more in-depth understanding of the material and are intended to stimulate the reader toward further research. A comprehensive index completes the work. Topics covered: * Frames and bases in mathematics and engineering * Wavelets with composite dilations and their applications * Wavelets on the sphere and their applications * Wiener's Lemma: theme and variations Four Short Courses on Harmonic Analysis is intended as a graduate-level textbook for courses or seminars on harmonic analysis and its applications. The work is also an excellent reference or self-study guide for researchers and practitioners with diverse mathematical backgrounds working in different fields such as pure and applied mathematics, image and signal processing engineering, mathematical physics, and communication theory Nota de contenido: Introduction: Mathematical Aspects of Time-Frequency Analysis -- B-Spline Generated Frames -- Continuous and Discrete Reproducing Systems That Arise from Translations. Theory and Applications of Composite Wavelets -- Wavelets on the Sphere -- Wiener’s Lemma: Theme and Variations. An Introduction to Spectral Invariance and Its Applications En línea: http://dx.doi.org/10.1007/978-0-8176-4891-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33549 Ejemplares
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Título : Harmonic Analysis, Signal Processing, and Complexity : Festschrift in Honor of the 60th Birthday of Carlos A. Berenstein Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Irene Sabadini ; Daniele C. Struppa ; David F. Walnut Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2005 Colección: Progress in Mathematics num. 238 Número de páginas: XI, 162 p. 15 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4416-1 Idioma : Inglés (eng) Palabras clave: Mathematics Algorithms Mathematical analysis Analysis (Mathematics) Harmonic Applied mathematics Engineering Abstract Applications of Signal, Image and Speech Processing Algorithm Problem Complexity Clasificación: 51 Matemáticas Resumen: Carlos A. Berenstein has had a profound influence on scholars and practitioners alike amid a distinguished mathematical career spanning nearly four decades. His uncommon capability of adroitly moving between these parallel worlds is demonstrated by the breadth of his research interests, from his early theoretical work on interpolation in spaces of entire functions with growth conditions and residue theory to his later work on deconvolution and its applications to issues ranging from optics to the study of blood flow. This volume, which celebrates his sixtieth birthday, reflects the state-of-the-art in these areas. Original articles and survey articles, all refereed, cover topics in harmonic and complex analysis, as well as more applied work in signal processing. Contributors: C.A. Berenstein; R.W. Braun; O. Calin; D-C. Chang; G. Dafni; L. Ehrenpreis; G. Kaiser; C.O. Kiselman; P. Krishnaprasad; B.Q. Li; B. Matt; R. Meise; D. Napoletani; R. Poovendran; Y. Qiao; J. Ryan; C. Sadosky; D.C. Struppa; B.A. Taylor; J. Tie; D.F. Walnut; and A. Yger Nota de contenido: Some Novel Aspects of the Cauchy Problem -- Analytic and Algebraic Ideas: How to Profit from Their Complementarity -- On Certain First-Order Partial Differential Equations in C n -- Hermite Operator on the Heisenberg Group -- A Div-Curl Lemma in BMO on a Domain -- Subharmonic Functions on Discrete Structures -- Nearly Hyperbolic Varieties and Phragmén-Lindelöf Conditions -- Sampling and Local Deconvolution -- Orthogonal Projections on Hyperbolic Space -- Eigenwavelets of the Wave Equation -- Security Analysis and Extensions of the PCB Algorithm for Distributed Key Generation -- Quotient Signal Estimation En línea: http://dx.doi.org/10.1007/0-8176-4416-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35174 Harmonic Analysis, Signal Processing, and Complexity : Festschrift in Honor of the 60th Birthday of Carlos A. Berenstein [documento electrónico] / SpringerLink (Online service) ; Irene Sabadini ; Daniele C. Struppa ; David F. Walnut . - Boston, MA : Birkhäuser Boston, 2005 . - XI, 162 p. 15 illus : online resource. - (Progress in Mathematics; 238) .
ISBN : 978-0-8176-4416-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Algorithms Mathematical analysis Analysis (Mathematics) Harmonic Applied mathematics Engineering Abstract Applications of Signal, Image and Speech Processing Algorithm Problem Complexity Clasificación: 51 Matemáticas Resumen: Carlos A. Berenstein has had a profound influence on scholars and practitioners alike amid a distinguished mathematical career spanning nearly four decades. His uncommon capability of adroitly moving between these parallel worlds is demonstrated by the breadth of his research interests, from his early theoretical work on interpolation in spaces of entire functions with growth conditions and residue theory to his later work on deconvolution and its applications to issues ranging from optics to the study of blood flow. This volume, which celebrates his sixtieth birthday, reflects the state-of-the-art in these areas. Original articles and survey articles, all refereed, cover topics in harmonic and complex analysis, as well as more applied work in signal processing. Contributors: C.A. Berenstein; R.W. Braun; O. Calin; D-C. Chang; G. Dafni; L. Ehrenpreis; G. Kaiser; C.O. Kiselman; P. Krishnaprasad; B.Q. Li; B. Matt; R. Meise; D. Napoletani; R. Poovendran; Y. Qiao; J. Ryan; C. Sadosky; D.C. Struppa; B.A. Taylor; J. Tie; D.F. Walnut; and A. Yger Nota de contenido: Some Novel Aspects of the Cauchy Problem -- Analytic and Algebraic Ideas: How to Profit from Their Complementarity -- On Certain First-Order Partial Differential Equations in C n -- Hermite Operator on the Heisenberg Group -- A Div-Curl Lemma in BMO on a Domain -- Subharmonic Functions on Discrete Structures -- Nearly Hyperbolic Varieties and Phragmén-Lindelöf Conditions -- Sampling and Local Deconvolution -- Orthogonal Projections on Hyperbolic Space -- Eigenwavelets of the Wave Equation -- Security Analysis and Extensions of the PCB Algorithm for Distributed Key Generation -- Quotient Signal Estimation En línea: http://dx.doi.org/10.1007/0-8176-4416-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35174 Ejemplares
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Título : Immersive Audio Signal Processing Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Sunil Bharitkar ; Chris Kyriakakis Editorial: New York, NY : Springer New York Fecha de publicación: 2006 Colección: Information Technology: Transmission, Processing and Storage Número de páginas: XIV, 215 p Il.: online resource ISBN/ISSN/DL: 978-0-387-28503-0 Idioma : Inglés (eng) Palabras clave: Mathematics Computational linguistics Applied mathematics Engineering Acoustics Electrical engineering Applications of Signal, Image and Speech Processing Communications Engineering, Networks Language Translation Linguistics Clasificación: 51 Matemáticas Resumen: This text introduces graduate students and researchers to the basics of digital signal processing relevant to audio/acoustics and psychoacoustics and a variety of topics and latest results in immersive audio processing research. Kay features: Covers relevant background material adequately Topics include immersive audio synthesis and rendering, multichannel room equalization, audio selective signal cancellation, signal processing for audio applications, surround sound processing, psychoacoustics and its incorporation in audio signal processing algorithms for solving various problems Real-world measurements depicted in the book demonstrate efficiency and power of the various solutions presented This timely graduate textbook targets courses on Immersive Audio Signal Processing, DSP and Multimedia Processing, and is an invaluable reference for researchers interested in understanding the synergy between acoustics/audio signal processing and psychoacoustics, and how these are melded to solve various hot topics in immersive multichannel audio processing Nota de contenido: Digital Signal Processing for Audio and Acoustics -- Foundations of Digital Signal Processing for Audio and Acoustics -- Filter Design for Audio Applications -- Acoustics and Auditory Perception -- to Acoustics and Auditory Perception -- Immersive Audio Processing -- Immersive Audio Synthesis and Rendering Over Loudspeakers -- Multiple Position Room Response Equalization -- Practical Considerations for Multichannel Equalization -- Robustness of Equalization to Displacement Effects: Part I -- Robustness of Equalization to Displacement Effects: Part II -- Selective Audio Signal Cancellation En línea: http://dx.doi.org/10.1007/0-387-28503-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34750 Immersive Audio Signal Processing [documento electrónico] / SpringerLink (Online service) ; Sunil Bharitkar ; Chris Kyriakakis . - New York, NY : Springer New York, 2006 . - XIV, 215 p : online resource. - (Information Technology: Transmission, Processing and Storage) .
ISBN : 978-0-387-28503-0
Idioma : Inglés (eng)
Palabras clave: Mathematics Computational linguistics Applied mathematics Engineering Acoustics Electrical engineering Applications of Signal, Image and Speech Processing Communications Engineering, Networks Language Translation Linguistics Clasificación: 51 Matemáticas Resumen: This text introduces graduate students and researchers to the basics of digital signal processing relevant to audio/acoustics and psychoacoustics and a variety of topics and latest results in immersive audio processing research. Kay features: Covers relevant background material adequately Topics include immersive audio synthesis and rendering, multichannel room equalization, audio selective signal cancellation, signal processing for audio applications, surround sound processing, psychoacoustics and its incorporation in audio signal processing algorithms for solving various problems Real-world measurements depicted in the book demonstrate efficiency and power of the various solutions presented This timely graduate textbook targets courses on Immersive Audio Signal Processing, DSP and Multimedia Processing, and is an invaluable reference for researchers interested in understanding the synergy between acoustics/audio signal processing and psychoacoustics, and how these are melded to solve various hot topics in immersive multichannel audio processing Nota de contenido: Digital Signal Processing for Audio and Acoustics -- Foundations of Digital Signal Processing for Audio and Acoustics -- Filter Design for Audio Applications -- Acoustics and Auditory Perception -- to Acoustics and Auditory Perception -- Immersive Audio Processing -- Immersive Audio Synthesis and Rendering Over Loudspeakers -- Multiple Position Room Response Equalization -- Practical Considerations for Multichannel Equalization -- Robustness of Equalization to Displacement Effects: Part I -- Robustness of Equalization to Displacement Effects: Part II -- Selective Audio Signal Cancellation En línea: http://dx.doi.org/10.1007/0-387-28503-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34750 Ejemplares
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