CGP4Matlab A Cartesian Genetic Programming MATLAB Toolbox for Audio and Image Processing
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gp-bibliography.bib Revision:1.7954
- @InProceedings{Miragaia:2018:evoApplications,
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author = "Rolando Miragaia and Gustavo Reis and
Francisco Fernandez and Tiago Inacio and Carlos Grilo",
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title = "{CGP4Matlab} A Cartesian Genetic Programming {MATLAB}
Toolbox for Audio and Image Processing",
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booktitle = "21st International Conference on the Applications of
Evolutionary Computation, EvoIASP 2018",
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year = "2018",
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editor = "Stefano Cagnoni and Mengjie Zhang",
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series = "LNCS",
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volume = "10784",
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publisher = "Springer",
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pages = "455--471",
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address = "Parma, Italy",
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month = "4-6 " # apr,
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organisation = "Species",
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming, MATLAB toolbox, Pitch estimation",
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isbn13 = "978-3-319-77537-1",
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DOI = "doi:10.1007/978-3-319-77538-8_31",
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abstract = "This paper presents and describes CGP4Matlab, a
powerful toolbox that allows to run Cartesian Genetic
Programming within MATLAB. This toolbox is particularly
suited for signal processing and image processing
problems. The implementation of CGP4Matlab, which can
be freely downloaded, is described. Some encouraging
results on the problem of pitch estimation of musical
piano notes achieved using this toolbox are also
presented. Pitch estimation of audio signals is a very
hard problem with still no generic and robust solution
found. Due to the highly flexibility of CGP4Matlab, we
managed to apply a new Cartesian genetic programming
based approach to the problem of pitch estimation. The
obtained results are comparable with the state of the
art algorithms.",
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notes = "EvoApplications2018 held in conjunction with
EuroGP'2018 EvoCOP2018 and EvoMusArt2018
http://www.evostar.org/2018/cfp_evoapps.php",
- }
Genetic Programming entries for
Rolando Miragaia
Gustavo Miguel Jorge dos Reis
Francisco Fernandez de Vega
Tiago Joao Leite Inacio
Carlos Grilo
Citations