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ADCM
2010
69views more  ADCM 2010»
13 years 5 months ago
Orthonormal bases with nonlinear phases
For adaptive representation of nonlinear signals, the bank M of real square integrable functions that have nonlinear phases and nonnegative instantaneous frequencies under the ana...
Tao Qian, Rui Wang, Yuesheng Xu, Haizhang Zhang
ICML
2003
IEEE
14 years 6 months ago
Kernel PLS-SVC for Linear and Nonlinear Classification
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Roman Rosipal, Leonard J. Trejo, Bryan Matthews
ICASSP
2011
IEEE
12 years 9 months ago
Design of Hilbert transform pairs of orthonormal wavelet bases with improved analyticity
This paper proposes a class of Hilbert transform pairs of orthonormal wavelet bases with improved analyticity. To improve the analyticity of complex wavelet, a different allpass ï...
Xi Zhang
TIP
2008
115views more  TIP 2008»
13 years 5 months ago
Nonlinearities in Stereoscopic Phase-Differencing
Exploiting the quasi-linear relationship between local phase and disparity, phase-differencing registration algorithms provide a fast, powerful means for disparity estimation. Unfo...
James Monaco, Alan C. Bovik, Lawrence K. Cormack
ICIP
1994
IEEE
14 years 6 months ago
Wavelet Soft-Thresholding of Time-Frequency Representations
The high noise sensitivity of the Wigner distribution makes smoothing a necessity for producing readable time-frequency images of noise corrupted signals. Since h e a r smoothing ...
Richard G. Baraniuk