Low power 2D finite impulse response filter design using modified artificial bee colony algorithm with experimental validation using field-programmable gate array
Motivated by the need of reducing power consumption (PC) in two dimensional (2D) finite impulse response (FIR) filters, in this work, the 2D FIR filter design task is formulated as an optimisation problem that seeks to attain the desired frequency response and reduces PC. The optimisation problem ha...
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| Published in | IET science, measurement & technology Vol. 10; no. 6; pp. 671 - 678 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
The Institution of Engineering and Technology
01.09.2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1751-8822 1751-8830 |
| DOI | 10.1049/iet-smt.2016.0069 |
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| Abstract | Motivated by the need of reducing power consumption (PC) in two dimensional (2D) finite impulse response (FIR) filters, in this work, the 2D FIR filter design task is formulated as an optimisation problem that seeks to attain the desired frequency response and reduces PC. The optimisation problem has been solved using the modified version of artificial bee colony algorithm. The applicability of the proposed approach has been evaluated by designing circular shaped 2D FIR filters for a set of specifications in frequency domain. The designed filters have been compared with other reported state of the art techniques. The evaluation is carried out in terms of pass band and stop band ripple minimisation, convergence profile and PC during filter execution in hardware. The proposed technique is found to outperform all other techniques in achieving minimum ripple for a given filter order. To prove the effectiveness of the proposed approach for PC reduction, the designed filters have been implemented in hardware using field-programmable gate array (xc7vx485t-2ffg1761). The PC computed using Xilinx X-power analyser shows that 23.53% power can be saved using the proposed approach as compared with conventional design approaches. |
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| AbstractList | Motivated by the need of reducing power consumption (PC) in two dimensional (2D) finite impulse response (FIR) filters, in this work, the 2D FIR filter design task is formulated as an optimisation problem that seeks to attain the desired frequency response and reduces PC. The optimisation problem has been solved using the modified version of artificial bee colony algorithm. The applicability of the proposed approach has been evaluated by designing circular shaped 2D FIR filters for a set of specifications in frequency domain. The designed filters have been compared with other reported state of the art techniques. The evaluation is carried out in terms of pass band and stop band ripple minimisation, convergence profile and PC during filter execution in hardware. The proposed technique is found to outperform all other techniques in achieving minimum ripple for a given filter order. To prove the effectiveness of the proposed approach for PC reduction, the designed filters have been implemented in hardware using field‐programmable gate array (xc7vx485t‐2ffg1761). The PC computed using Xilinx X‐power analyser shows that 23.53% power can be saved using the proposed approach as compared with conventional design approaches. |
| Author | Londhe, Narendra D Dwivedi, Atul Kumar Ghosh, Subhojit |
| Author_xml | – sequence: 1 givenname: Atul Kumar surname: Dwivedi fullname: Dwivedi, Atul Kumar organization: Department of Electrical Engineering, NIT Raipur, Raipur, India – sequence: 2 givenname: Subhojit surname: Ghosh fullname: Ghosh, Subhojit email: sghosh.ele@nitrr.ac.in organization: Department of Electrical Engineering, NIT Raipur, Raipur, India – sequence: 3 givenname: Narendra D surname: Londhe fullname: Londhe, Narendra D organization: Department of Electrical Engineering, NIT Raipur, Raipur, India |
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| CitedBy_id | crossref_primary_10_1007_s11045_021_00798_5 crossref_primary_10_1007_s00034_018_0772_1 crossref_primary_10_1109_TCSII_2018_2817592 crossref_primary_10_2478_cait_2022_0046 crossref_primary_10_1007_s11045_020_00714_3 crossref_primary_10_1049_iet_smt_2016_0444 crossref_primary_10_1007_s40435_018_0394_2 crossref_primary_10_1016_j_micpro_2020_103739 crossref_primary_10_1109_TCSI_2018_2889260 |
| Cites_doi | 10.1016/j.vlsi.2014.06.004 10.1049/iet-spr.2013.0005 10.1007/s11042-014-2358-7 10.1109/82.392318 10.1109/82.592582 10.1109/TSP.2002.804060 10.1109/82.877153 10.1007/s10462-014-9427-1 10.1109/78.91181 10.1109/TAU.1972.1162331 10.1007/978-3-540-70942-8_31 10.1109/TAU.1972.1162399 10.1109/TCS.1976.1084236 10.1016/0165-1684(95)00012-3 10.1145/1124713.1124724 10.1109/TCS.1975.1084025 10.1109/43.503929 10.1016/j.dsp.2015.02.010 10.1016/j.sigpro.2007.01.034 10.1109/TCSI.2008.917997 10.1007/s11045-006-0007-7 10.1016/j.sigpro.2004.06.018 |
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| Keywords | Hamming distance field programmable gate arrays circular shaped 2D FIR filter Xilinx X-power analyser modified artificial bee colony algorithm field-programmable gate array pass band ripple minimisation power consumption optimisation problem frequency domain analysis FIR filters low power two-dimensional FIR filter low power 2D finite impulse response filter design PC band-pass filters cooling minimisation maintenance singular value decomposition band-stop filters stop band ripple minimisation |
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| SubjectTerms | Algorithms band‐pass filters band‐stop filters circular shaped 2D FIR filter cooling Design analysis Design modifications field programmable gate arrays field‐programmable gate array FIR filters frequency domain analysis Hamming distance Impulse response low power 2D finite impulse response filter design low power two‐dimensional FIR filter maintenance Mathematical analysis minimisation modified artificial bee colony algorithm optimisation problem pass band ripple minimisation power consumption Ripples singular value decomposition stop band ripple minimisation Two dimensional Xilinx X‐power analyser |
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| Title | Low power 2D finite impulse response filter design using modified artificial bee colony algorithm with experimental validation using field-programmable gate array |
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