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» Blind noise variance estimation for OFDMA signals
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ICASSP
2011
IEEE
14 years 3 months ago
Speech enhancement using a joint map estimator with Gaussian mixture model for (non-)stationary noise
In many applications non-stationary Gaussian or stationary nonGaussian noises can be observed. In this paper we present a maximum a posteriori estimation jointly of spectral ampli...
Balázs Fodor, Tim Fingscheidt
TSP
2010
14 years 6 months ago
Source extraction by maximizing the variance in the conditional distribution tails
This paper presents a method for signal extraction based on conditional second-order moments of the output of the extraction filter. The estimator of the filter is derived from an ...
Ronald Phlypo, Vicente Zarzoso, Ignace Lemahieu
ISCAS
2006
IEEE
146views Hardware» more  ISCAS 2006»
15 years 5 months ago
Adaptive combined bispectrum-filtering signal processing in radar systems with low SNR
—The application of adaptive techniques for obtaining bispectrum estimates in additive Gaussian noise and random shifts of received signals is considered. An approach using joint...
Vladimir V. Lukin, A. Totsky, D. Fevralev, Alexey ...
ICASSP
2010
IEEE
14 years 12 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...
TSP
2008
117views more  TSP 2008»
14 years 11 months ago
Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
R. R. Nadakuditi, A. Edelman