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» Signal masking in Gaussian channels
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GLOBECOM
2008
IEEE
13 years 11 months ago
Signal Detection in Optical Communications through the Atmospheric Turbulence Channel
—The probability of a miss in the detection of a signal in an optical communications system through the turbulent atmosphere using intensity modulation is studied. The turbulence...
Jacob C. Brandenburg, John Q. Liu
CORR
2010
Springer
98views Education» more  CORR 2010»
13 years 10 months ago
Analog Matching of Colored Sources to Colored Channels
Analog (uncoded) transmission provides a simple scheme for communicating a Gaussian source over a Gaussian channel under the mean squared error (MSE) distortion measure. Unfortuna...
Yuval Kochman, Ram Zamir
ICASSP
2011
IEEE
13 years 1 months ago
Integrating binaural cues and blind source separation method for separating reverberant speech mixtures
This paper presents a new method for reverberant speech separation, based on the combination of binaural cues and blind source separation (BSS) for the automatic classification o...
Atiyeh Alinaghi, Wenwu Wang, Philip J. B. Jackson
TASLP
2011
13 years 4 months ago
Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
Maarten Van Segbroeck, Hugo Van Hamme
ICC
2007
IEEE
118views Communications» more  ICC 2007»
14 years 4 months ago
Sending Correlated Gaussian Sources over a Gaussian MAC: To Code, or not to Code
— We consider 1-helper problem in which one source provides partial side information to the fusion center (FC) to help reconstruction of the main source signal. Both sources comm...
Hamid Behroozi, M. Reza Soleymani