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» Signal Processing in Large Systems: a New Paradigm
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STOC
2007
ACM
106views Algorithms» more  STOC 2007»
14 years 8 months ago
One sketch for all: fast algorithms for compressed sensing
Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...
Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp,...
NAACL
1994
13 years 9 months ago
Signal Processing for Robust Speech Recognition
This paper describes several new cepstral-based compensation procedures that render the SPHINX-II system more robust with respect to acoustical environment. The first algorithm, p...
Fu-Hua Liu, Pedro J. Moreno, Richard M. Stem, Alej...
ICARIS
2003
Springer
14 years 29 days ago
Signal Processing by an Immune Type Tree Transform
Abstract. The paper makes an attempt to introduce a new approach for detection of local singularities in signals, including one-dimensional time series and two-dimensional images. ...
Nikolaos D. Atreas, Costas G. Karanikas, Alexander...
NAACL
1994
13 years 9 months ago
Microphone-Independent Robust Signal Processing Using Probabilistic Optimum Filtering
A new mapping algorithm for speech recognition relates the features of simultaneous recordings of clean and noisy speech. The model is a piecewise nonfinear transformation appfied...
Leonardo Neumeyer, Mitch Weintraub
ISTA
2004
13 years 9 months ago
Enterprise Architecture Modeling using Agent Paradigm
: New approaches to modeling and design of enterprise systems must enable enterprises to offer dramatically improved capabilities including more effective enterprise architectures,...
Olfa Lamouchi, Amar Ramdane-Cherif, Nicole L&eacut...