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» On the Hilbert Transform of Wavelets
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DCC
2004
IEEE
16 years 1 months ago
Predicting Wavelet Coefficients Over Edges Using Estimates Based on Nonlinear Approximants
It is well-known that wavelet transforms provide sparse decompositions over many types of image regions but not over image singularities/edges that manifest themselves along curve...
Onur G. Guleryuz
MICAI
2007
Springer
15 years 7 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
ICIP
2001
IEEE
16 years 3 months ago
Image denoising using adaptive subband decomposition
In this paper, we present a new image denoising method based on adaptive subband decomposition (or adaptive wavelet transform) in which the filter coefficients are updated accordi...
Ömer Nezih Gerek, A. Enis Çetin, Ismai...
ICMCS
2008
IEEE
201views Multimedia» more  ICMCS 2008»
15 years 8 months ago
Logitboost weka classifier speech segmentation
Segmenting the speech signals on the basis of time-frequency analysis is the most natural approach. Boundaries are located in places where energy of some frequency subband rapidly...
Bartosz Ziólko, Suresh Manandhar, Richard C...
ISCAS
2007
IEEE
106views Hardware» more  ISCAS 2007»
15 years 7 months ago
Area-Power Efficient Lifting-Based DWT Hardware for Implantable Neuroprosthetics
— Discrete wavelet transform (DWT) has been shown to provide exceptionally efficient data compression for neural records. This paper describes an area-power minimized hardware im...
Awais M. Kamboh, Matthew Raetz, Andrew Mason, Kari...