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ICIP
2009
IEEE
15 years 11 months ago
Dequantizing Compressed Sensing With Non-gaussian Constraints
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
ISCC
2008
IEEE
135views Communications» more  ISCC 2008»
15 years 4 months ago
Analysis of compressed depth and image streaming on unreliable networks
This paper explores the issues connected to the transmission of three dimensional scenes over unreliable networks such as the wireless ones. It analyzes the effect of the loss of ...
Pietro Zanuttigh, Andrea Zanella, Guido M. Cortela...
ICMCS
2005
IEEE
128views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Low-complexity automatic speaker recognition in the compressed GSM AMR domain
This paper presents an experimental implementation of a low-complexity speaker recognition algorithm working in the compressed speech domain. The goal is to perform speaker modeli...
Matteo Petracca, Antonio Servetti, Juan Carlos De ...
VISUALIZATION
1999
IEEE
15 years 2 months ago
Progressive Compression of Arbitrary Triangular Meshes
In this paper we present a mesh compression method based on a multiresolution decomposition whose detail coefficients have a compact representation and thus smaller entropy than t...
Daniel Cohen-Or, David Levin, Offir Remez
69
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ICASSP
2010
IEEE
14 years 8 months ago
Bayesian compressive sensing for phonetic classification
In this paper, we introduce a novel bayesian compressive sensing (CS) technique for phonetic classification. CS is often used to characterize a signal from a few support training...
Tara N. Sainath, Avishy Carmi, Dimitri Kanevsky, B...