Improved range selection method for evolutionary algorithm based adaptive filtering of EEG/ERP signals

• Published in: Neurocomputing (Amsterdam) Vol. 144; pp. 282 - 294
• Main Authors: Ahirwal, M.K., Kumar, A., Singh, G.K.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier 20.11.2014
• Subjects: Algorithmics. Computability. Computer arithmetics; Applied sciences; Biological and medical sciences; Coding, codes; Computer science; control theory; systems; Electrodiagnosis. Electric activity recording; Exact sciences and technology; Information systems. Data bases; Information, signal and communications theory; Investigative techniques, diagnostic techniques (general aspects); Medical sciences; Memory organisation. Data processing; Nervous system; Signal and communications theory; Software; Telecommunications and information theory; Theoretical computing; Measurement; Adaptive algorithm; Noise reduction; Evolutionary algorithm; Adaptive filtering; Electroencephalography; Statistical simulation; Optimization; Genetic algorithm (GA); Digital filter; Space complexity; Differential evolution (DE); Differential evolution; Bacteria; Swarm intelligence; Bacterial foraging optimization (BFO); Statistical analysis; Computer simulation; Adaptive filter; Experimental study; Integrated management; Operating conditions; Range selection; Genetic algorithm; Evoked potential; Firm management; Resource management
• ISSN: 0925-2312
• DOI: 10.1016/j.neucom.2014.05.029