CGP4Matlab A Cartesian Genetic Programming MATLAB Toolbox for Audio and Image Processing

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Miragaia:2018:evoApplications,

• author = "Rolando Miragaia and Gustavo Reis and Francisco Fernandez and Tiago Inacio and Carlos Grilo",
• title = "{CGP4Matlab} A Cartesian Genetic Programming {MATLAB} Toolbox for Audio and Image Processing",
• booktitle = "21st International Conference on the Applications of Evolutionary Computation, EvoIASP 2018",
• year = "2018",
• editor = "Stefano Cagnoni and Mengjie Zhang",
• series = "LNCS",
• volume = "10784",
• publisher = "Springer",
• pages = "455--471",
• address = "Parma, Italy",
• month = "4-6 " # apr,
• organisation = "Species",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, MATLAB toolbox, Pitch estimation",
• isbn13 = "978-3-319-77537-1",
• DOI = "doi:10.1007/978-3-319-77538-8_31",
• 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.",
• 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