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ICASSP
2011
IEEE
12 years 11 months ago
A simplified Subspace Gaussian Mixture to compact acoustic models for speech recognition
Speech recognition applications are known to require a significant amount of resources (memory, computing power). However, embedded speech recognition systems, such as in mobile p...
Mohamed Bouallegue, Driss Matrouf, Georges Linares
ICASSP
2010
IEEE
13 years 7 months ago
Statistical modeling of co-channel interference in a field of Poisson distributed interferers
—With increasing spatial reuse of the radio spectrum, co-channel interference is becoming a dominant noise source and may severely degrade the communication performance of wirele...
Kapil Gulati, Brian L. Evans, Keith R. Tinsley
19
Voted
MODELS
2010
Springer
13 years 6 months ago
Transformation-Based Parallelization of Request-Processing Applications
Abstract. Multicore, multithreaded processors are rapidly becoming the platform of choice for high-throughput request-processing applications (RPAs). We refer to this class of mode...
Taylor L. Riché, Harrick M. Vin, Don S. Bat...
CISS
2010
IEEE
12 years 11 months ago
Average case analysis of sparse recovery from combined fusion frame measurements
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
Petros Boufounos, Gitta Kutyniok, Holger Rauhut
ESSMAC
2003
Springer
14 years 27 days ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith