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Adapted wavelet analysis from theory to software / Mladen Victor Wickerhauser
Adapted wavelet analysis from theory to software / Mladen Victor Wickerhauser
Autore Wickenhauser, Mladen Victor
Pubbl/distr/stampa New York, : IEEE Press
Descrizione fisica XII, 486 p. ; 24 cm.
Disciplina 621.38201
621.3822015152433
Soggetto topico Elaborazione dei segnali - Metodi matematici
ISBN 1568810415
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISANNIO-PUV0299268
Wickenhauser, Mladen Victor  
New York, : IEEE Press
Materiale a stampa
Lo trovi qui: Univ. del Sannio
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Mathematical Morphology and Its Applications to Signal and Image Processing [[electronic resource] ] : 12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings / / edited by Jón Atli Benediktsson, Jocelyn Chanussot, Laurent Najman, Hugues Talbot
Mathematical Morphology and Its Applications to Signal and Image Processing [[electronic resource] ] : 12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings / / edited by Jón Atli Benediktsson, Jocelyn Chanussot, Laurent Najman, Hugues Talbot
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XIV, 754 p. 324 illus.)
Disciplina 621.3822015152433
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Computer science—Mathematics
Image Processing and Computer Vision
Math Applications in Computer Science
Discrete Mathematics in Computer Science
ISBN 3-319-18720-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Evaluations and applications -- Hierarchies -- Color, multivalued and orientation fields -- Optimization, differential calculus and probabilities -- Topology and discrete geometry.- Algorithms and implementation.
Record Nr. UNISA-996200026203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Mathematical Morphology and Its Applications to Signal and Image Processing : 12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings / / edited by Jón Atli Benediktsson, Jocelyn Chanussot, Laurent Najman, Hugues Talbot
Mathematical Morphology and Its Applications to Signal and Image Processing : 12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings / / edited by Jón Atli Benediktsson, Jocelyn Chanussot, Laurent Najman, Hugues Talbot
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XIV, 754 p. 324 illus.)
Disciplina 621.3822015152433
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Computer science—Mathematics
Image Processing and Computer Vision
Math Applications in Computer Science
Discrete Mathematics in Computer Science
ISBN 3-319-18720-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Evaluations and applications -- Hierarchies -- Color, multivalued and orientation fields -- Optimization, differential calculus and probabilities -- Topology and discrete geometry.- Algorithms and implementation.
Record Nr. UNINA-9910483143403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Signals, Systems, and Transforms : Concise Coverage from Theory to Application
Signals, Systems, and Transforms : Concise Coverage from Theory to Application
Autore Cohen Fernand
Edizione [1st ed.]
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2025
Descrizione fisica 1 online resource (227 pages)
Disciplina 621.3822015152433
ISBN 1-394-30087-5
1-394-30086-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright Page -- Dedication Page -- Contents -- Preface -- Acknowledgments -- List of Symbols -- Chapter 1 Signals and Systems -- 1.1 Different Types of Signals -- 1.1.1 Causal, Anticausal, and Noncausal Signals -- 1.2 Symmetry in Signals -- 1.3 Singularity Functions -- 1.3.1 Impulse Function -- 1.3.2 Step Function -- 1.3.3 Rectangular Function -- 1.3.4 Ramp Function -- 1.3.5 Triangular Function -- 1.4 Transforming a Signal -- 1.4.1 Time Transformation -- 1.4.2 Amplitude Transformation -- 1.5 Characterizing a System and System's Properties -- 1.5.1 Linearity -- 1.5.2 Time Invariance -- 1.5.3 Invertibility -- 1.5.4 Causality -- 1.5.5 Bounded-Input Bounded-Output Stability -- 1.6 Impulse Response of an LTI System -- 1.6.1 Convolution Integral and Sum -- 1.6.2 Step and Ramp Responses -- 1.7 Impulse Response of LTI, RL, or RC Circuit -- 1.8 Second-Order Systems -- 1.9 Impulse Response of Rational Systems -- 1.10 Deconvolution -- 1.11 Chapter Summary -- Problems -- Chapter 2 Fourier Series (FS) -- 2.1 Development of Fourier Series: A Historical Perspective -- 2.2 Vector and Function Spaces -- 2.2.1 Geometric Projection and Dot Product -- 2.2.2 Function Space and Dot Product -- 2.3 Sinusoidal Functions -- 2.4 Fourier Series Expansion -- 2.4.1 Existence of Fourier Series -- 2.5 Fourier Series of Certain Signals and Properties -- 2.5.1 Train of Impulse Function -- 2.5.2 Shifting Property -- 2.5.3 Derivative Property -- 2.6 Spectral Representation of Periodic Functions -- 2.7 Fourier Series for Discrete Periodic Signals -- 2.7.1 2D Discrete Periodic Signal -- 2.8 Signal and Image Compression -- 2.8.1 Lossy Compression -- 2.9 Fourier Descriptors for Boundary Representation -- 2.10 Chapter Summary -- Problems -- 2.A Appendix -- References -- Chapter 3 Fourier Transform -- 3.1 Development of Fourier Transform.
3.2 Fourier Transform from Fourier Series -- 3.3 Inverse Fourier Transform -- 3.3.1 Existence of Fourier Transform -- 3.4 Fourier Transform of Certain Signals -- 3.4.1 FT of an Impulse Function -- 3.4.2 FT of an Exponential Function -- 3.5 Properties of FT -- 3.5.1 Shifting Property -- 3.5.2 Derivative Property -- 3.5.3 Convolution Property -- 3.5.4 Eigenfunction Eigenvalue (EE) Property -- 3.5.5 Integral Property -- 3.5.6 Duality Property -- 3.5.7 Modulation Property -- 3.5.8 Scaling Property -- 3.6 Parseval's Theorem -- 3.7 FT for Discrete Signals (DTFT) -- 3.7.1 Inverse DTFT -- 3.7.2 Properties of DTFT -- 3.7.2.1 Shifting Property -- 3.7.2.2 Derivative Property -- 3.7.2.3 Summation Property -- 3.8 Parseval's Theorem for DTFT -- 3.9 Discrete Rational System Approximation to a Continuous Rational System -- 3.10 Phasors and FT -- 3.11 FT in Medical Imaging -- 3.11.1 Projection Theorem -- 3.11.1.1 Projection Slice Theorem -- 3.12 Chapter Summary -- Problems -- References -- Chapter 4 DFT and FFT -- 4.1 Development of Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) -- 4.2 DFT as Samples on the DTFT -- 4.2.1 Conditions for Retrieving x(n) from y(n) -- 4.3 IDFT -- 4.4 Circular Convolution -- 4.5 FFT -- 4.5.1 Radix 2 FFT -- 4.5.2 8-FFT Using Two 4-DFTs or Four 2-DFTs -- 4.5.3 9-FFT Using Three 3-DFT Units -- 4.5.4 Radix m-FFT -- 4.5.5 Decimation in Frequency -- 4.6 Chapter Summary -- Problems -- References -- Chapter 5 Laplace Transform -- 5.1 Development of Laplace Transform (LT) -- 5.2 The LT as a Generalized FT -- 5.3 Relationship Between the FT and the LT -- 5.4 The ROC for Rational Signals -- 5.4.1 The ROC for Rational Causal Signal of Infinite duration -- 5.4.2 The ROC for Rational Anticausal Signal- of Infinite duration -- 5.4.3 ROC for Rational Noncausal Signals -- 5.5 Inverse LT (ILT) -- 5.6 Laplace Transform of Certain Signals.
5.6.1 The LT of an Impulse Function -- 5.6.2 The LT of an Exponential Function -- 5.7 Properties of the LT -- 5.7.1 Shifting Property -- 5.7.2 Derivative Property -- 5.7.3 Convolution Property -- 5.7.4 Eigenfunction Eigenvalue Property -- 5.7.5 Integral Property -- 5.7.6 Scaling Property -- 5.7.7 Complex Shift and Duality Property -- 5.7.8 Initial and Final Values -- 5.8 Rational Systems -- 5.8.1 Poles and Zeros of a Rational System -- 5.8.2 The BIBO Stable System -- 5.8.3 Step and Ramp Responses as Functions of the Impulse Response h(t) -- 5.9 Chapter Summary -- Problems -- References -- Chapter 6 Z-Transform -- 6.1 Development of Z-transform (ZT) -- 6.2 The ZT as Generalized DTFT -- 6.3 Relationship Between DTFT and ZT -- 6.4 Region of Convergence (ROC) for Rational Signals -- 6.4.1 ROC for Rational Causal Signals of Infinite Duration -- 6.4.2 ROC for Rational Anticausal Signals -- 6.4.3 ROC for Rational Noncausal Signals -- 6.5 Inverse ZT (IZT) -- 6.5.1 Cauchy's Residue Theorem for IZT -- 6.6 The ZT of Certain Signals -- 6.6.1 The ZT of a Dirac Delta Function -- 6.6.2 The ZT of an Exponent Function -- 6.7 Properties of the ZT -- 6.7.1 Shifting Property -- 6.7.2 Difference and Summation Property -- 6.7.3 Derivative Property -- 6.7.4 Convolution Property -- 6.7.5 Eigenfunction Eigenvalue Property -- 6.7.6 Scaling Property -- 6.7.7 Time Reversal -- 6.8 Initial and Final Values -- 6.9 Relationship Between LT and ZT -- 6.10 Rational Systems -- 6.10.1 Poles and Zeros of a Rational System -- 6.10.2 BIBO Stable System -- 6.10.3 Step and Ramp Responses as Functions of the Impulse Response h(n) -- 6.11 Connecting the Various FT and GFT for Analog and Discrete Signals -- 6.12 Chapter Summary -- Problems -- References -- Chapter 7 Sampler -- 7.1 Development of Digitizer â€" The Sampler and Quantizer -- 7.2 Sampler and Nyquist Rate.
7.2.1 Sampling of Bandpass Signals -- 7.3 Sampling of Images -- 7.4 Nonuniform Sampling -- 7.5 Chapter Summary -- Problems -- References -- Chapter 8 Quantizer -- 8.1 Development of the Quantizer -- 8.2 Lloyd-Max Quantizer -- 8.2.1 Lloyd-Max Solution -- 8.3 Uniform Quantizer -- 8.4 Suboptimal Quantizer -- 8.5 Intuitive Quantizer -- 8.6 Compandor Quantizer -- 8.7 Dithering â€" Reducing Quantization Distortions -- 8.8 Halftoning -- 8.9 Chapter Summary -- Problems -- References -- Chapter 9 Unitary Transforms -- 9.1 Development of Unitary Transforms -- 9.2 Unitary Transforms in Vector Spaces -- 9.3 Compactness Property -- 9.4 Optimal Transform -- 9.5 DFT as a Unitary Transform -- 9.6 DCT as a Unitary Transform -- 9.7 Singular Value Decomposition (SVD) and Unitary Transforms -- 9.8 Chapter Summary -- Problems -- References -- Chapter 10 Applications -- 10.1 Renography -- 10.2 Filter Design -- 10.2.1 Ideal Low Pass Filter -- 10.2.2 Digital Filters -- 10.3 Signal and Image Restoration -- 10.4 Chapter Summary -- Problems -- MATLAB Exercise -- Appendix A Complex Variable Calculus -- Index -- EULA.
Record Nr. UNINA-9911034577303321
Cohen Fernand  
Newark : , : John Wiley & Sons, Incorporated, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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A wavelet tour of signal processing [[electronic resource] ] : the Sparse way / / Stephane Mallat
A wavelet tour of signal processing [[electronic resource] ] : the Sparse way / / Stephane Mallat
Autore Mallat S. G (Stéphane G.)
Edizione [Sparse ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier /Academic Press, c2009
Descrizione fisica 1 online resource (829 p.)
Disciplina 621.382/2015152433
621.3822015152433
Soggetto topico Signal processing - Mathematics
Wavelets (Mathematics)
Soggetto genere / forma Electronic books.
ISBN 1-281-98216-4
9786611982164
0-08-092202-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; A Wavelet Tour of Signal Processing; Copyright Page; Dedication Page; Table of Contents; Preface to the Sparse Edition; Notations; Chapter 1. Sparse Representations; 1.1 Computational Harmonic Analysis; 1.1.1 The Fourier Kingdom; 1.1.2 Wavelet Bases; 1.2 Approximation and Processing in Bases; 1.2.1 Sampling with Linear Approximations; 1.2.2 Sparse Nonlinear Approximations; 1.2.3 Compression; 1.2.4 Denoising; 1.3 Time-Frequency Dictionaries; 1.3.1 Heisenberg Uncertainty; 1.3.2 Windowed Fourier Transform; 1.3.3 Continuous Wavelet Transform; 1.3.4 Time-Frequency Orthonormal Bases
1.4 Sparsity in Redundant Dictionaries1.4.1 Frame Analysis and Synthesis; 1.4.2 Ideal Dictionary Approximations; 1.4.3 Pursuit in Dictionaries; 1.5 Inverse Problems; 1.5.1 Diagonal Inverse Estimation; 1.5.2 Super-resolution and Compressive Sensing; 1.6 Travel Guide; 1.6.1 Reproducible Computational Science; 1.6.2 Book Road Map; Chapter 2. The Fourier Kingdom; 2.1 Linear Time-Invariant Filtering; 2.1.1 Impulse Response; 2.1.2 Transfer Functions; 2.2 Fourier Integrals; 2.2.1 Fourier Transform in L1(R); 2.2.2 Fourier Transform in L2(R); 2.2.3 Examples; 2.3 Properties; 2.3.1 Regularity and Decay
2.3.2 Uncertainty Principle2.3.3 Total Variation; 2.4 Two-Dimensional Fourier Transform; 2.5 Exercises; Chapter 3. Discrete Revolution; 3.1 Sampling Analog Signals; 3.1.1 Shannon-Whittaker Sampling Theorem; 3.1.2 Aliasing; 3.1.3 General Sampling and Linear Analog Conversions; 3.2 Discrete Time-Invariant Filters; 3.2.1 Impulse Response and Transfer Function; 3.2.2 Fourier Series; 3.3 Finite Signals; 3.3.1 Circular Convolutions; 3.3.2 Discrete Fourier Transform; 3.3.3 Fast Fourier Transform; 3.3.4 Fast Convolutions; 3.4 Discrete Image Processing; 3.4.1 Two-Dimensional Sampling Theorems
3.4.2 Discrete Image Filtering3.4.3 Circular Convolutions and Fourier Basis; 3.5 Exercises; Chapter 4. Time Meets Frequency; 4.1 Time-Frequency Atoms; 4.2 Windowed Fourier Transform; 4.2.1 Completeness and Stability; 4.2.2 Choice of Window; 4.2.3 Discrete Windowed Fourier Transform; 4.3 Wavelet Transforms; 4.3.1 Real Wavelets; 4.3.2 Analytic Wavelets; 4.3.3 Discrete Wavelets; 4.4 Time-Frequency Geometry of Instantaneous Frequencies; 4.4.1 Analytic Instantaneous Frequency; 4.4.2 Windowed Fourier Ridges; 4.4.3 Wavelet Ridges; 4.5 Quadratic Time-Frequency Energy; 4.5.1 Wigner-Ville Distribution
4.5.2 Interferences and Positivity4.5.3 Cohen's Class; 4.5.4 Discrete Wigner-Ville Computations; 4.6 Exercises; Chapter 5. Frames; 5.1 Frames and Riesz Bases; 5.1.1 Stable Analysis and Synthesis Operators; 5.1.2 Dual Frame and Pseudo Inverse; 5.1.3 Dual-Frame Analysis and Synthesis Computations; 5.1.4 Frame Projector and Reproducing Kernel; 5.1.5 Translation-Invariant Frames; 5.2 Translation-Invariant Dyadic Wavelet Transform; 5.2.1 Dyadic Wavelet Design; 5.2.2 Algorithme à Trous; 5.3 Subsampled Wavelet Frames; 5.4 Windowed Fourier Frames; 5.4.1 Tight Frames; 5.4.2 General Frames
5.5 Multiscale Directional Frames For Images
Record Nr. UNINA-9910454413803321
Mallat S. G (Stéphane G.)  
Amsterdam ; ; Boston, : Elsevier /Academic Press, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A wavelet tour of signal processing [[electronic resource] ] : the Sparse way / / Stephane Mallat
A wavelet tour of signal processing [[electronic resource] ] : the Sparse way / / Stephane Mallat
Autore Mallat S. G (Stéphane G.)
Edizione [Sparse ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier /Academic Press, c2009
Descrizione fisica 1 online resource (829 p.)
Disciplina 621.382/2015152433
621.3822015152433
Soggetto topico Signal processing - Mathematics
Wavelets (Mathematics)
ISBN 1-281-98216-4
9786611982164
0-08-092202-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; A Wavelet Tour of Signal Processing; Copyright Page; Dedication Page; Table of Contents; Preface to the Sparse Edition; Notations; Chapter 1. Sparse Representations; 1.1 Computational Harmonic Analysis; 1.1.1 The Fourier Kingdom; 1.1.2 Wavelet Bases; 1.2 Approximation and Processing in Bases; 1.2.1 Sampling with Linear Approximations; 1.2.2 Sparse Nonlinear Approximations; 1.2.3 Compression; 1.2.4 Denoising; 1.3 Time-Frequency Dictionaries; 1.3.1 Heisenberg Uncertainty; 1.3.2 Windowed Fourier Transform; 1.3.3 Continuous Wavelet Transform; 1.3.4 Time-Frequency Orthonormal Bases
1.4 Sparsity in Redundant Dictionaries1.4.1 Frame Analysis and Synthesis; 1.4.2 Ideal Dictionary Approximations; 1.4.3 Pursuit in Dictionaries; 1.5 Inverse Problems; 1.5.1 Diagonal Inverse Estimation; 1.5.2 Super-resolution and Compressive Sensing; 1.6 Travel Guide; 1.6.1 Reproducible Computational Science; 1.6.2 Book Road Map; Chapter 2. The Fourier Kingdom; 2.1 Linear Time-Invariant Filtering; 2.1.1 Impulse Response; 2.1.2 Transfer Functions; 2.2 Fourier Integrals; 2.2.1 Fourier Transform in L1(R); 2.2.2 Fourier Transform in L2(R); 2.2.3 Examples; 2.3 Properties; 2.3.1 Regularity and Decay
2.3.2 Uncertainty Principle2.3.3 Total Variation; 2.4 Two-Dimensional Fourier Transform; 2.5 Exercises; Chapter 3. Discrete Revolution; 3.1 Sampling Analog Signals; 3.1.1 Shannon-Whittaker Sampling Theorem; 3.1.2 Aliasing; 3.1.3 General Sampling and Linear Analog Conversions; 3.2 Discrete Time-Invariant Filters; 3.2.1 Impulse Response and Transfer Function; 3.2.2 Fourier Series; 3.3 Finite Signals; 3.3.1 Circular Convolutions; 3.3.2 Discrete Fourier Transform; 3.3.3 Fast Fourier Transform; 3.3.4 Fast Convolutions; 3.4 Discrete Image Processing; 3.4.1 Two-Dimensional Sampling Theorems
3.4.2 Discrete Image Filtering3.4.3 Circular Convolutions and Fourier Basis; 3.5 Exercises; Chapter 4. Time Meets Frequency; 4.1 Time-Frequency Atoms; 4.2 Windowed Fourier Transform; 4.2.1 Completeness and Stability; 4.2.2 Choice of Window; 4.2.3 Discrete Windowed Fourier Transform; 4.3 Wavelet Transforms; 4.3.1 Real Wavelets; 4.3.2 Analytic Wavelets; 4.3.3 Discrete Wavelets; 4.4 Time-Frequency Geometry of Instantaneous Frequencies; 4.4.1 Analytic Instantaneous Frequency; 4.4.2 Windowed Fourier Ridges; 4.4.3 Wavelet Ridges; 4.5 Quadratic Time-Frequency Energy; 4.5.1 Wigner-Ville Distribution
4.5.2 Interferences and Positivity4.5.3 Cohen's Class; 4.5.4 Discrete Wigner-Ville Computations; 4.6 Exercises; Chapter 5. Frames; 5.1 Frames and Riesz Bases; 5.1.1 Stable Analysis and Synthesis Operators; 5.1.2 Dual Frame and Pseudo Inverse; 5.1.3 Dual-Frame Analysis and Synthesis Computations; 5.1.4 Frame Projector and Reproducing Kernel; 5.1.5 Translation-Invariant Frames; 5.2 Translation-Invariant Dyadic Wavelet Transform; 5.2.1 Dyadic Wavelet Design; 5.2.2 Algorithme à Trous; 5.3 Subsampled Wavelet Frames; 5.4 Windowed Fourier Frames; 5.4.1 Tight Frames; 5.4.2 General Frames
5.5 Multiscale Directional Frames For Images
Record Nr. UNINA-9910782686003321
Mallat S. G (Stéphane G.)  
Amsterdam ; ; Boston, : Elsevier /Academic Press, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A wavelet tour of signal processing : the Sparse way / / Stephane Mallat
A wavelet tour of signal processing : the Sparse way / / Stephane Mallat
Autore Mallat S. G (Stéphane G.)
Edizione [Sparse ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier /Academic Press, c2009
Descrizione fisica 1 online resource (829 p.)
Disciplina 621.382/2015152433
621.3822015152433
Soggetto topico Signal processing - Mathematics
Wavelets (Mathematics)
ISBN 9786611982164
9781281982162
1281982164
9780080922027
0080922023
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; A Wavelet Tour of Signal Processing; Copyright Page; Dedication Page; Table of Contents; Preface to the Sparse Edition; Notations; Chapter 1. Sparse Representations; 1.1 Computational Harmonic Analysis; 1.1.1 The Fourier Kingdom; 1.1.2 Wavelet Bases; 1.2 Approximation and Processing in Bases; 1.2.1 Sampling with Linear Approximations; 1.2.2 Sparse Nonlinear Approximations; 1.2.3 Compression; 1.2.4 Denoising; 1.3 Time-Frequency Dictionaries; 1.3.1 Heisenberg Uncertainty; 1.3.2 Windowed Fourier Transform; 1.3.3 Continuous Wavelet Transform; 1.3.4 Time-Frequency Orthonormal Bases
1.4 Sparsity in Redundant Dictionaries1.4.1 Frame Analysis and Synthesis; 1.4.2 Ideal Dictionary Approximations; 1.4.3 Pursuit in Dictionaries; 1.5 Inverse Problems; 1.5.1 Diagonal Inverse Estimation; 1.5.2 Super-resolution and Compressive Sensing; 1.6 Travel Guide; 1.6.1 Reproducible Computational Science; 1.6.2 Book Road Map; Chapter 2. The Fourier Kingdom; 2.1 Linear Time-Invariant Filtering; 2.1.1 Impulse Response; 2.1.2 Transfer Functions; 2.2 Fourier Integrals; 2.2.1 Fourier Transform in L1(R); 2.2.2 Fourier Transform in L2(R); 2.2.3 Examples; 2.3 Properties; 2.3.1 Regularity and Decay
2.3.2 Uncertainty Principle2.3.3 Total Variation; 2.4 Two-Dimensional Fourier Transform; 2.5 Exercises; Chapter 3. Discrete Revolution; 3.1 Sampling Analog Signals; 3.1.1 Shannon-Whittaker Sampling Theorem; 3.1.2 Aliasing; 3.1.3 General Sampling and Linear Analog Conversions; 3.2 Discrete Time-Invariant Filters; 3.2.1 Impulse Response and Transfer Function; 3.2.2 Fourier Series; 3.3 Finite Signals; 3.3.1 Circular Convolutions; 3.3.2 Discrete Fourier Transform; 3.3.3 Fast Fourier Transform; 3.3.4 Fast Convolutions; 3.4 Discrete Image Processing; 3.4.1 Two-Dimensional Sampling Theorems
3.4.2 Discrete Image Filtering3.4.3 Circular Convolutions and Fourier Basis; 3.5 Exercises; Chapter 4. Time Meets Frequency; 4.1 Time-Frequency Atoms; 4.2 Windowed Fourier Transform; 4.2.1 Completeness and Stability; 4.2.2 Choice of Window; 4.2.3 Discrete Windowed Fourier Transform; 4.3 Wavelet Transforms; 4.3.1 Real Wavelets; 4.3.2 Analytic Wavelets; 4.3.3 Discrete Wavelets; 4.4 Time-Frequency Geometry of Instantaneous Frequencies; 4.4.1 Analytic Instantaneous Frequency; 4.4.2 Windowed Fourier Ridges; 4.4.3 Wavelet Ridges; 4.5 Quadratic Time-Frequency Energy; 4.5.1 Wigner-Ville Distribution
4.5.2 Interferences and Positivity4.5.3 Cohen's Class; 4.5.4 Discrete Wigner-Ville Computations; 4.6 Exercises; Chapter 5. Frames; 5.1 Frames and Riesz Bases; 5.1.1 Stable Analysis and Synthesis Operators; 5.1.2 Dual Frame and Pseudo Inverse; 5.1.3 Dual-Frame Analysis and Synthesis Computations; 5.1.4 Frame Projector and Reproducing Kernel; 5.1.5 Translation-Invariant Frames; 5.2 Translation-Invariant Dyadic Wavelet Transform; 5.2.1 Dyadic Wavelet Design; 5.2.2 Algorithme à Trous; 5.3 Subsampled Wavelet Frames; 5.4 Windowed Fourier Frames; 5.4.1 Tight Frames; 5.4.2 General Frames
5.5 Multiscale Directional Frames For Images
Record Nr. UNINA-9910966022603321
Mallat S. G (Stéphane G.)  
Amsterdam ; ; Boston, : Elsevier /Academic Press, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui