"The thesis focuses on the application of computational intelligence (CI) techniques for two problems - system identification and digital filter design. In system identification, different case studies have been carried out with equal or reduced number of orders as the original system and also in identifying a blackbox model. Lowpass, Highpass, Bandpass and Bandstop FIR and Lowpass IIR filters have been designed using three algorithms using two different fitness functions. Particle Swarm Optimization (PSO), Differential Evolution based PSO (DEPSO) and PSO with Quantum Infusion (PSO-QI) algorithms have been applied in this work"--Abstract, page iii.
Venayagamoorthy, Ganesh K.
Grant, Steven L.
Watkins, Steve Eugene, 1960-
Electrical and Computer Engineering
M.S. in Computer Engineering
National Science Foundation (U.S.)
Missouri University of Science and Technology
xi, 138 pages
© 2009 Bipul Luitel, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Digital filters (Mathematics)
Print OCLC #
Electronic OCLC #
Link to Catalog Recordhttp://laurel.lso.missouri.edu/record=b7076777~S5
Luitel, Bipul, "Applications of swarm, evolutionary and quantum algorithms in system identification and digital filter design" (2009). Masters Theses. 4642.