Results 211 to 220 of about 40,666 (260)

Overcomplete Wavelet Transforms

1998
This chapter deals with discrete wavelet transforms that are formed from the general samples of a continuous wavelet transform. Conceptually, there are few constraints on the spacing between sample points throughout the time—scale plane; however, computational consideration is restricted here to an interesting subclass of sampling sets that allow for ...
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Wavelets, Wavelet Filters, and Wavelet Transforms

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 Transforms

2022
Firdous A. Shah, Azhar Y. Tantary
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TRANSFORMS, WAVELETS

2001
Nomenclature a scale f frequency fs sampling frequency G(f) Fourier transform of g(t) Image Fourier transform of Image(t) S(t, f) Short-time Fourier transform x(t) continuous time signal w(t) windowing function ?(n) Kronecker delta function ?f sampling intervals in frequency ?t sampling intervals in ...
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Wavelets and Wavelet Transforms

2023
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Wavelet Transform

2021
Nabamita Banerjee Roy, Kesab Bhattacharya   +1 more
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Fusion of multimodal medical images using Daubechies complex wavelet transform – A multiresolution approach

Information Fusion, 2014
Rajiv Singh, Ashish Khare
exaly  

Texture analysis and classification with tree-structured wavelet transform

IEEE Transactions on Image Processing, 1993
C -C Jay Kuo
exaly  

Wavelet Transformation

2009
Hiroyuki Shima, Tsuneyoshi Nakayama
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Wavelet Transform

2023
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