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ICASSP
2011
IEEE
14 years 10 months ago
Non-data-aided adaptive beamforming algorithm based on the Widely Linear Auxiliary Vector Filter
We propose a non-data-aided adaptive beamforming algorithm based on Widely Linear (WL) processing techniques and the Auxiliary Vector Filtering (AVF) algorithm for non-circular si...
Nuan Song, Jens Steinwandt, Lei Wang, Rodrigo C. d...
ICASSP
2008
IEEE
16 years 1 months ago
Weighted maximum likelihood autoregressive and moving average spectrum modeling
We propose new algorithms for estimating autoregressive (AR), moving average (MA), and ARMA models in the spectral domain. These algorithms are derived from a maximum likelihood a...
Roland Badeau, Bertrand David
ICASSP
2009
IEEE
16 years 1 months ago
A criterion for the enhancement of time-frequency masks in missing data recognition
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
Daniel Pullella, Roberto Togneri
ICASSP
2009
IEEE
16 years 1 months ago
SkellamShrink: Poisson intensity estimation for vector-valued data
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in...
Keigo Hirakawa, Patrick J. Wolfe
ICASSP
2008
IEEE
16 years 1 months ago
Compressive sensing of parameterized shapes in images
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
Ali Cafer Gurbuz, James H. McClellan, Justin K. Ro...