%0 Report %1 esparcia:1996:96010 %A Esparcia-Alcazar, Anna I. %A Sharman, Ken C. %C Glasgow G12 8QQ, Scotland %D 1996 %K Adaptive Annealing, Digital Filtering Processing Signal Simulated algorithms, genetic programming, %N CSC-96010 %T Application of Genetic Programming to Signal Processing Problems %U http://www.mech.gla.ac.uk/Research/Control/Publications/Rabstracts/abs96010.html %X The field of Digital Signal Processing (DSP) is concerned with the restoration of signals which have undergone distortion and interference or noise corruption as a result of being transmitted. The usual way to recover such a signal is by adaptive filtering. Designing adaptive filters is not an easy task. It usually involves complicated algorithms whose performance depends on the skill of the designer as well as the power of the computer used. The aim of the present work is to provide a way of automating such process by means of a black box technique. In this approach, both the structure and the parameters of adaptive filters are evolved. The former is done by Genetic Programming (GP) and the latter is done by Simulated Annealing (SA). The power of the hybrid GP/SA is demonstrated with some results on three interesting DSP applications: channel equalisation, noise cancellation and interference removal.

@techreport{esparcia:1996:96010, abstract = {The field of Digital Signal Processing (DSP) is concerned with the restoration of signals which have undergone distortion and interference or noise corruption as a result of being transmitted. The usual way to recover such a signal is by adaptive filtering. Designing adaptive filters is not an easy task. It usually involves complicated algorithms whose performance depends on the skill of the designer as well as the power of the computer used. The aim of the present work is to provide a way of automating such process by means of a black box technique. In this approach, both the structure and the parameters of adaptive filters are evolved. The former is done by Genetic Programming (GP) and the latter is done by Simulated Annealing (SA). The power of the hybrid GP/SA is demonstrated with some results on three interesting DSP applications: channel equalisation, noise cancellation and interference removal.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Glasgow G12 8QQ, Scotland}, author = {Esparcia-Alcazar, Anna I. and Sharman, Ken C.}, biburl = {https://www.bibsonomy.org/bibtex/2d2a0d9a90a8d2ae9fa108f5773f0b93c/brazovayeye}, institution = {Faculty of Engineering}, interhash = {dc1011b39037a4f348f37fd4e79b74d8}, intrahash = {d2a0d9a90a8d2ae9fa108f5773f0b93c}, keywords = {Adaptive Annealing, Digital Filtering Processing Signal Simulated algorithms, genetic programming,}, notes = {Also submitted to: Late-breaking papers at the Genetic Programming 96 Conference, Stanford, USA, July 1996 \cite{esparcia:1996:GPdsp}}, number = {CSC-96010}, size = {pages}, timestamp = {2008-06-19T17:39:17.000+0200}, title = {Application of Genetic Programming to Signal Processing Problems}, type = {Technical Report}, url = {http://www.mech.gla.ac.uk/Research/Control/Publications/Rabstracts/abs96010.html}, year = 1996 }