555 search results - page 11 / 111 » Bayesian Compressive Sensing |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
TMC
2012
11 years 10 months ago
2012
—This article1 presents the design of a networked system for joint compression, rate control and error correction of video over resource-constrained embedded devices based on the...
VLDB
2007
ACM
14 years 1 months ago
2007
ACM
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper...