Sciweavers

91 search results - page 10 / 19
» Blind noise variance estimation for OFDMA signals
Sort
View
98
Voted
TASLP
2008
124views more  TASLP 2008»
14 years 11 months ago
Joint Dereverberation and Residual Echo Suppression of Speech Signals in Noisy Environments
Hands-free devices are often used in a noisy and reverberant environment. Therefore, the received microphone signal does not only contain the desired near-end speech signal but als...
Emanuel A. P. Habets, Sharon Gannot, Israel Cohen,...
ICASSP
2011
IEEE
14 years 3 months ago
Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity
This paper considers the blind separation of the harmonic and percussive components of multichannel music signals. We model the contribution of each source to all mixture channels...
Ngoc Q. K. Duong, Hideyuki Tachibana, Emmanuel Vin...
98
Voted
SCALESPACE
2005
Springer
15 years 5 months ago
Estimation of the Optimal Variational Parameter via SNR Analysis
We examine the problem of finding the optimal weight of the fidelity term in variational denoising. Our aim is to maximize the signal to noise ratio (SNR) of the restored image. ...
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
DSP
2006
14 years 11 months ago
Matrix pencil method for simultaneously estimating azimuth and elevation angles of arrival along with the frequency of the incom
In this paper we describe a method for simultaneously estimating the direction of arrival (DOA) of the signal along with its unknown frequency. In a typical DOA estimation problem...
Nuri Yilmazer, Raul Fernandez-Recio, Tapan K. Sark...
TIP
2011
84views more  TIP 2011»
14 years 6 months ago
Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising
—The removal of Poisson noise is often performed through the following three-step procedure. First, the noise variance is stabilized by applying the Anscombe root transformation ...
Markku Makitalo, Alessandro Foi