Screen LibraryMultiscale signal analysis and modeling /
Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design, feature extractio...
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| Corporate Authors: | |
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| Group Author: | ; |
| Published: |
Springer,
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| Publisher Address: | New York, NY : |
| Publication Dates: | 2013. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-1-4614-4145-8 |
| Summary: |
Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and statistical learning theory. This book also:Discusses recently developed signal modeling techniques, such as the multiscale method for complex time series modeling, multiscale positive density estimations, Bayesian Shrinkage Strategies, and algorithms for data adaptive statisticsIntroduces new sampling algorithms for multidimensional signal processing Provides comprehensive coverage of wavelets with presentations on waveform design and modeling, wavelet analysis of ECG signals and wavelet filtersReviews features extraction and classification algorithms for multiscale signal and image processing using Local Discriminant Basis (LDB) Develops multi-parameter regularized extrapolating estimators in statistical learning theoryMultiscale Signal Analysis and Modeling is an ideal book for graduate students and practitioners, especially those working in or studying the field of signal/image processing, telecommunication and applied statistics. It can also serve as a reference book for engineers, researchers and educators interested in mathematical and statistical modeling. |
| Carrier Form: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781461441458 (electronic bk.) 1461441455 (electronic bk.) |
| Index Number: | TA342 |
| CLC: | O212 |
| Contents: |
Sampling -- Convergence of Classical Cardinal Series / Improved Approximation via Use of Transformations / Generalized Sampling in L (Rd) Shift-Invariant Subspaces with Multiple Stable Generators / Function Spaces for Sampling Expansions / Coprime Sampling and Arrays in One and Multiple Dimensions / Chromatic Expansions and the Bargmann Transform / Representation Formulas for Hardy Space Functions Through the Cuntz Relations and New Interpolation Problems / Constructions and a Generalization of Perfect Autocorrelation Sequences on Z / Multiscale Analysis -- On the Application of the SDLE to the Analysis of Complex Time Series / Wavelet Analysis of ECG Signals / Multiscale Signal Processing with Discrete Hermite Functions / Earth Mover's Distance-Based Local Discriminant Basis / Statistical Analysis -- Characterizations of Certain Continuous Distributions / Bayesian Wavelet Shrinkage Strategies: A Review / Multiparameter Regularization for Construction of Extrapolating Estimators in Statistical Learning Theory / |