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JC
2007
119views more  JC 2007»
15 years 7 months ago
Deterministic constructions of compressed sensing matrices
Compressed sensing is a new area of signal processing. Its goal is to minimize the number of samples that need to be taken from a signal for faithful reconstruction. The performan...
Ronald A. DeVore
215
Voted
ICML
2009
IEEE
16 years 8 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ISMIR
2005
Springer
127views Music» more  ISMIR 2005»
16 years 29 days ago
Distributed Audio Feature Extraction for Music
One of the important challenges facing music information retrieval (MIR) of audio signals is scaling analysis algorithms to large collections. Typically, analysis of audio signals...
Stuart Bray, George Tzanetakis
ISCAS
2002
IEEE
149views Hardware» more  ISCAS 2002»
16 years 11 days ago
Design of a DSP-based 24 bit digital audio equalizer for automotive applications
The project deals with the design and realization of a dedicated board DSP-based for the processing of audio signals for automotive applications (DIGIcar). The I/O interface of th...
Alberto Bellini, Eraldo Carpanoni, Giacomo Frassi,...
EURODAC
1994
IEEE
129views VHDL» more  EURODAC 1994»
15 years 11 months ago
A general state graph transformation framework for asynchronous synthesis
Abstract -- A general framework for synthesis of asynchronous control circuits at the state graph level is proposed. The framework can consider both concurrency reduction as well a...
Bill Lin, Chantal Ykman-Couvreur, Peter Vanbekberg...