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Transient analysis of adaptive filters

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Active Antenna Selection in Multiuser MIMO Communications

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The paper develops a dynamic antenna scheduling strategy for downlink MIMO communications, where a subset of the receive antennas at certain users is selectively disabled. The proposed method improves the signal-to-leakage-plus-noise (SLNR) ratio performan ...

IEEE2007

Statistical description of sediment transport experiments

Christophe Ancey, Peter Frey

A longstanding problem in the study of sediment transport in gravel-bed rivers is related to the physical mechanisms governing bed resistance and particle motion. To study this problem, we investigated the motion of coarse spherical glass beads entrained b ...

2006

Using Posterior-Based Features in Template Matching for Speech Recognition

Hervé Bourlard, Guillermo Aradilla

Given the availability of large speech corpora, as well as the increasing of memory and computational resources, the use of template matching approaches for automatic speech recognition (ASR) have recently attracted new attention. In such template-based ap ...

2006

Using Posterior-Based Features in Template Matching for Speech Recognition

Hervé Bourlard, Guillermo Aradilla

IDIAP2006

Gradient estimates of return distributions

Samy Bengio, Christos Dimitrakakis

We present a general method for maintaining estimates of the distribution of parameters in arbitrary models. This is then applied to the estimation of probability distributions over actions in value-based reinforcement learning. While this approach is simi ...

2005

Perfect Simulations for Random Trip Mobility Models

Jean-Yves Le Boudec, Milan Vojnovic, Santashil Palchaudhuri

The random trip model was recently proposed as a generic mobility model that contains many particular mo-bility models, including the widely-known random waypoint and random walks, and accommodates more realistic sce-narios. The probability distribution of ...

2005

Boosting word error rates

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We apply boosting techniques to the problem of word error rate minimisation in speech recognition. This is achieved through a new definition of sample error for boosting and a training procedure for hidden Markov models. For this purpose we define a sample ...

2005

Boosting word error rates

Samy Bengio, Christos Dimitrakakis

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Lower bound to the AWGN remote rate-distortion function

Michael Christoph Gastpar

In the remote source coding problem, an underlying source is observed in noise. The noisy observations must be encoded into a bit stream in such a way as to enable the decoder to produce a good approximation to the original source sequence. The trade-off b ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2005

Estimates of Parameter Distributions for Optimal Action Selection

Samy Bengio, Christos Dimitrakakis

We present a general method for maintaining estimates of the distribution of parameters in arbitrary models. This is then applied to the estimation of probability distribution over actions in value-based reinforcement learning. While this approach is simil ...

IDIAP2004