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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 11 months ago
A genetic algorithm for optimized reconstruction of quantized one-dimensional signals
This paper describes a genetic algorithm (GA) that evolves optimized sets of coefficients for one-dimensional signal reconstruction under lossy conditions due to quantization. Beg...
Frank W. Moore
GECCO
2005
Springer
177views Optimization» more  GECCO 2005»
13 years 11 months ago
Evolving next generation signal compression and reconstruction transforms via genetic algorithms
Ongoing research has established a new methodology for using genetic algorithms [2] to evolve forward and inverse transforms that significantly reduce quantization error in recons...
Frank W. Moore, Patrick Marshall
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 6 months ago
A differential evolution algorithm for optimizing signal compression and reconstruction transforms
State-of-the-art image compression and reconstruction techniques utilize wavelets. Beginning in 2004, however, a team of researchers at Wright-Patterson Air Force Base (WPAFB), the...
Frank W. Moore, Brendan J. Babb
TASLP
2008
104views more  TASLP 2008»
13 years 5 months ago
A New Model-Based Algorithm for Optimizing the MPEG-AAC in MS-Stereo
Abstract--In this paper, a new model-based algorithm for optimizing the MPEG-Advanced Audio Coder (AAC) in MS-stereo mode is presented. This algorithm is an extension to stereo sig...
Olivier Derrien, Gaël Richard
CISS
2008
IEEE
14 years 9 days ago
1-Bit compressive sensing
Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
Petros Boufounos, Richard G. Baraniuk