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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 4 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»
14 years 4 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 12 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 10 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 5 months 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