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A GA for non-uniform sampling harmonic analysis
- Source :
- GECCO Companion, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
- Publication Year :
- 2020
- Publisher :
- ACM, 2020.
-
Abstract
- In this paper, we use a real valued genetic algorithm (GA) to model a large noisy periodic signal. The information that must be extracted are the amplitude, angular velocity and phase of the sines composing the signal. The algorithm outperforms the Fourier Transform (FT) method which has limitations when it comes to determining the phase component of a real part signal. The GA returns the phase component of the signal without the need of de-noising in a very short time, thanks to an efficient parallelization on GPGPU cards (≈ X400 acceleration compared to the same sequential code).
- Subjects :
- Computer science
Phase (waves)
Nonuniform sampling
0102 computer and information sciences
02 engineering and technology
01 natural sciences
Signal
Harmonic analysis
Periodic function
Acceleration
symbols.namesake
Fourier transform
Amplitude
010201 computation theory & mathematics
0202 electrical engineering, electronic engineering, information engineering
symbols
020201 artificial intelligence & image processing
Algorithm
Subjects
Details
- ISBN :
- 978-1-4503-7127-8
- ISBNs :
- 9781450371278
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
- Accession number :
- edsair.doi.dedup.....ef78d474230ce2e6f78738b20140efa1