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Low rate distributed quantization of noisy observations
Quantitative distributed network nodes a random variable
2015/8/13
We consider the achievable performance of a network of nodes in which the nodes view a common random variable corrupted by a site specific noise and share low rate information about their observations...
Noisy Network Coding
Compress-forward discrete memoryless network Gaussian network interference relay channel network coding noisy network coding relaying two-way relay channel
2015/8/12
A noisy network coding scheme for communicating messages between multiple sources and destinations over a general noisy network is presented. For multi-message multicast networks, the scheme naturally...
Speech Feature Denoising and Dereverberation via Deep Autoencoders for Noisy Reverberant Speech Recognition
robust speech recognition feature denoising denoising autoencoder deep neural network
2014/11/27
Denoising autoencoders (DAs) have shown success in generating robust features for images, but there has been limited work in applying DAs for speech. In this paper we present a deep denoising autoenco...
Robust Speaker Recognition in Noisy Conditions
Missing-feature theory multicondition training noise compensation noise modeling speaker recognition
2014/11/27
This paper investigates the problem of speaker identification and verification in noisy conditions, assuming that speech signals are corrupted by environmental noise, but knowledge about the noise cha...
Noisy Motion-blurred Images Restoration Based on RBFN
noisy motion blurred image restoration local motion blurred image restoration radial basis function network variable regularization parameter optimal windowed wiener filtering
2014/3/11
To restore a degraded image, which has been corrupted by some kinds of noise and motion blur, a model for restoration is first presented and then an algorithm based on this model and the radial basis ...