Wavelets and Signal ProcessingLokenath Debnath Provides a digest of the current developments, open questions and unsolved problems likely to determine a new frontier for future advanced study and research in the rapidly growing areas of wavelets, wavelet transforms, signal analysis, and signal and image processing. Ideal reference work for advanced students and practitioners in wavelets, and wavelet transforms, signal processing and time-frequency signal analysis. Professionals working in electrical and computer engineering, applied mathematics, computer science, biomedical engineering, physics, optics, and fluid mechanics will also find the book a valuable resource. |
Contents
| 3 | |
References | 21 |
7 | 29 |
11 | 39 |
On the Nonexistence of Certain Divergencefree Multiwavelets | 40 |
Osiris Wavelets and Isis Variables | 55 |
18 | 60 |
Wavelets for Statistical Estimation and Detection | 103 |
Signal Processing and TimeFrequency Signal Analysis | 133 |
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Common terms and phrases
amplitude array blind source separation compactly supported compression computed corresponding covariance property cross-terms de-noising defined delay shift covariance denotes dispersively warped affine domain dual enstrophy estimation example exponential class extended DF Figure frequency G. F. Boudreaux-Bartels group delay shift Hilbert space Hlawatsch hyperbolic class IEEE IEEE Trans impulse integration isomorphic iteration kernel filter kth power Lemma linear matrix method modulation noise obtained optimal parameter power class power exponential Proc quantization reassignment vector renormalization group resolution performance Riesz basis satisfy sensor short-time Fourier transform Signal Processing simulation smoothed pseudo WD space spectral spectrogram STFD Subsection TF point Theorem threshold time-frequency analysis time-frequency distributions time-frequency representations time-frequency signal time-shift covariance unitary vector fields vorticity warped affine class warped Cohen's class warping operators wavelet coefficients wavelet transform Wigner window