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The wavelet transform, time-frequency localization and signal analysis
IEEE Transactions on Information Theory, 1990Two different procedures for effecting a frequency analysis of a time-dependent signal locally in time are studied. The first procedure is the short-time or windowed Fourier transform; the second is the wavelet transform, in which high-frequency ...
I. Daubechies
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Image coding using wavelet transform
IEEE Transactions on Image Processing, 1992A scheme for image compression that takes into account psychovisual features both in the space and frequency domains is proposed. This method involves two steps.
M. Antonini +3 more
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Wavelet Transform of Multifractals
Physical Review Letters, 1988no ...
Arneodo, A. +2 more
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On Sampling Theorem, Wavelets and Wavelet Transforms
Proceedings. IEEE International Symposium on Information Theory, 1993Summary: The classical Shannon sampling theorem has resulted in many applications and generalizations. From a multiresolution point of view, it provides the sinc scaling function. In this case, for a band-limited signal, its wavelet series transform (WST) coefficients below a certain resolution level can be exactly obtained from the samples with a ...
Xiang-Gen Xia, Zhen Zhang
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Wavelet transform approach for image processing â A research motivation for engineering graduates
The International Journal of Electrical Engineering & Education, 2019The study of wavelet transform and its application to image processing are being incorporated in undergraduate and postgraduate syllabuses. This article discuss the basic concepts of image processing and its importance in real time application.
C. Vimala, P. Aruna Priya, C. Subramani
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Wavelet transform for Fresnel-transformed mother wavelets
Chinese Physics B, 2011In this paper, we propose the so-called continuous Fresnel-wavelet combinatorial transform which means that the mother wavelet undergoes the Fresnel transformation. This motivation can let the mother-wavelet-state itself vary from |ă to Fâ r,s|ă, except for variation within the family of dilations and translations. The Parseval's equality, admissibility
Hong-Yi Fan, Shu-Guang Liu, Jun-Hua Chen
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Wavelets and Wavelet Transform
2017Wavelet transforms are the most powerful and the most widely used tool in the field of image processing. Wavelet transform has received considerable attention in the field of image processing due to its flexibility in representing non-stationary image signals and its ability in adapting to human visual characteristics. Wavelet transform is an efficient
Soohwan Yu, Aparna Vyas, Joonki Paik
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Wavelets, Wavelet Filters, and Wavelet Transforms [PDF]
, 2013 Spectral characteristics of speech are known to be particularly useful in describing a speech signal such that it can be efficiently reconstructed after coding or identified for recognition. The wavelets are considered one of such efficient methods for representing the spectrum of speech signals.
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Wavelet and wavelet Stieltjes transforms
Proceedings of 32nd IEEE Conference on Decision and Control, 2002Some fundamental and useful properties of wavelet transforms are presented. A unified approach for both discrete and continuous time-frequency localization is introduced. >
Jie Chen +3 more
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