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ADCM
2010
69views more  ADCM 2010»
14 years 9 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
74
Voted
ICML
2003
IEEE
15 years 10 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
14 years 1 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»
14 years 9 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
15 years 11 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