| dc.description.abstract | —Polyphase filter banks (PFBs) are the most
preferred multirate structures for subband coding in Digital
Signal Processing (DSP) and communication. For PFB design,
there are many important design parameters such as filter
length and frequency selectivity. Also, to realize the desired
frequency response in designs, stopband and passband
attenuation are of considerable importance. In PFB design,
researchers and practitioners frequently use iterative and
meta-heuristic optimization methods. Heuristic techniques
have a significant problem-solving ability in continuous and
discrete solution space. Therefore, they give better results than
other suggested methods, and their performance depends on
the control parameters. In this study, Artificial Bee Colony
(ABC) algorithm was employed for suggested design problem
of PFB. In the first stage, the control parameters of the ABC
algorithm were examined to improve the performance of the
proposed PFB problem. In the second stage, the analysis was
carried out by changing filter lengths (8-256) and filter band
frequencies (0.3-0.7/0.4-0.6). All results obtained were also
compared with the Particle Swarm Optimization algorithm
(PSO) and the Genetic algorithm (GA). Finally, a DSP
application of PFB was carried out according to best results
achieved by the ABC algorithm for filter lengths and
frequencies. | tr |
