caa a22 4500 605470669 CHVBK 20210128100329.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00500-014-1260-6 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1260-6 Soleimani Ali Department of Electrical and Robotics Engineering, Shahrood University of Technology, Shahrood, Iran aut Combine particle swarm optimization algorithm and canonical sign digit to design finite impulse response filter [Elektronische Daten] [Ali Soleimani] The main contribution of this paper is to design a digital finite impulse response filter using the particle swarm optimization (PSO) algorithm combined canonical signed digit (CSD) representation. The design has been done based on matching certain frequency response and the filter coefficients in CSD representation with limited bits and some of coefficients to be zero, simultaneously. Using CSD representation, multipliers can substitute adders, shifters and subtractors. In filter design, the results show that combining PSO and CSD representations simultaneously is better than combining PSO and CSD sequentially. In addition the results, if the common adders and subtractors were computed for all filter coefficients that specified in CSD representation, significantly reduce the complexity of the hardware implementation of digital FIR filter. Springer-Verlag Berlin Heidelberg, 2014 PSO algorithm nationallicence FIR filter nationallicence Canonical sign digit nationallicence Reduce computation nationallicence Genetic algorithm nationallicence Soft Computing Springer Berlin Heidelberg 19/2(2015-02-01), 407-419 1432-7643 19:2<407 2015 19 500 https://doi.org/10.1007/s00500-014-1260-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1260-6 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Soleimani Ali Department of Electrical and Robotics Engineering, Shahrood University of Technology, Shahrood, Iran aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/2(2015-02-01), 407-419 1432-7643 19:2<407 2015 19 500