We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
We consider the problem of Time Difference of Arrival (TDOA) estimation for cyclostationary signals in additive white Gaussian noise. Classical approaches to the problem either ig...
In this paper, we describe CALM, a method for building statistical language models for the Web. CALM addresses several unique challenges dealing with the Web contents. First, CALM...
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...
Phase Noise (PN) is a serious challenge in wireless transmission systems as it can cause significant degradation of the system performance. Recent publications propose iterative ...
Steffen Bittner, Andreas Frotzscher, Gerhard Fettw...
For TV and radio shows containing narrowband speech, Speech-to-text (STT) accuracy on the narrowband audio can be improved by using an acoustic model trained on acoustically match...
In this paper, a one-pass multi-layer rate-distortion optimization algorithm is proposed for quality scalable video coding. To improve the overall coding efficiency, the MB mode ...
A computationally efficient distributed beamforming technique for multi-user relay networks is developed. The channel state information is assumed to be known at the relays or de...
Haihua Chen, Alex B. Gershman, Shahram Shahbazpana...
Sampling error due to jitter, or noise in the sample times, affects the precision of analog-to-digital converters in a significant, nonlinear fashion. In this paper, a polynomial...
In this paper, we propose a novel nonparametric modeling technique, namely Space Kernel Analysis (SKA), as a result of the definition of the space kernel. We analyze the uncertai...