Digital FIR Filter Design by PSO and its variants Attractive and Repulsive PSO(ARPSO) & Craziness based PSO(CRPSO)

Digital filters play a major role in signal processing that are employed many applications such as control systems, audio or video noise reduction and different systems for communication. In this regard, FIR because of frequency stability linearity their phase response. filter design requires multi-modal optimization problems. Therefore, PSO (Particle Swarm Optimization) algorithm its variants more adaptable techniques based upon particles’ population the search space great option designing filter. improve solution characteristic by providing unique approach updating velocity position swarm. An optimized set coefficient is produced variant algorithms which gives results passband stopband. research paper, effectively designed using Algorithm two ARPSO CRPSO MATLAB. The outcomes prove technique better than PM algorithm. Algorithms context spectrum RMS error.