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ICASSP
2008
IEEE
15 years 4 months ago
Blind optimization of algorithm parameters for signal denoising by Monte-Carlo SURE
We consider the problem of optimizing the parameters of an arbitrary denoising algorithm by minimizing Stein’s Unbiased Risk Estimate (SURE) which provides a means of assessing ...
Sathish Ramani, Thierry Blu, Michael Unser
ICASSP
2010
IEEE
14 years 9 months ago
Designing the Wiener post-filter for diffuse noise suppression using imaginary parts of inter-channel cross-spectra
This paper describes a new design of the Wiener post-filter for diffuse noise suppression. The Wiener post-filter is well-known as an effective post-processing of the minimum va...
Nobutaka Ito, Nobutaka Ono, Emmanuel Vincent, Shig...
NIPS
2003
14 years 11 months ago
The Diffusion-Limited Biochemical Signal-Relay Channel
Biochemical signal-transduction networks are the biological information-processing systems by which individual cells, from neurons to amoebae, perceive and respond to their chemic...
Peter J. Thomas, Donald J. Spencer, Sierra K. Hamp...
ICASSP
2011
IEEE
14 years 1 months ago
Empirical divergence maximization for quantizer design: An analysis of approximation error
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
Michael A. Lexa
ICASSP
2009
IEEE
15 years 4 months ago
A differential geometric approach to discrete-coefficient filter design
This paper is concerned with the problem of computing a discretecoefficient approximation to a digital filter. In contrast to earlier works that have approached this problem usi...
Subramanian Ramamoorthy, Lothar Wenzel, James Nagl...