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Sparse FIR Filter Design Based on Simulated Annealing AlgorithmWU, C. , XU, X. , ZHANG, X. , ZHAO, L. |
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Author keywords
digital filter design, simulated annealing, sparse FIR filter
References keywords
design(12), signal(10), processing(10), filters(10), systems(8), sparse(8), response(7), filter(7), circuits(7), simulated(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2015-02-28
Volume 15, Issue 1, Year 2015, On page(s): 17 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.01003
Web of Science Accession Number: 000352158600003
SCOPUS ID: 84924766096
Abstract
Design of sparse finite impulse response (FIR) filter is of great importance to reduce the implementation cost. However, design of sparse FIR filter under the prescribed constraints is a highly non-convex problem. Traditional methods generally relax the non-convex design problem to a convex one, which leads the obtained solutions suboptimal. In this paper, the non-convex design problem is modeled as a combinatorial optimization problem and an algorithm based on simulated annealing (SA) is presented to solve it. At each stage of the proposed algorithm, with a fixed sparsity of the filter coefficients, SA is employed for finding the possible sparse pattern of the FIR filter that satisfies the prescribed constraints. Once the design constraints have been satisfied, the sparsity is added by one and the algorithm moves to the next stage. The algorithm successively increases the sparsity of the filter coefficients until no sparser solution could be obtained. The proposed algorithm is evaluated by two sets of examples, and better results can be achieved than other existing algorithms. |
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[1] Low complexity multiobjective finite impulse response filter design using Salp swarm algorithm and its improved version, Srivastava, Savita, Dwivedi, Atul Kumar, Nagaria, Deepak, International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, ISSN 0894-3370, Issue 6, Volume 34, 2021.
Digital Object Identifier: 10.1002/jnm.2914 [CrossRef]
[2] Silicon on Insulator C-VTFET Based Design of low Complexity Sparse Quadrature Mirror Filter Using Differential Search Algorithm, Singh, Hitendra, Dwivedi, Atul Kumar, Nagaria, Deepak, Silicon, ISSN 1876-990X, Issue 17, Volume 14, 2022.
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[3] FIR digital filter design based on improved artificial bee colony algorithm, Lian, Lian, Tian, Zhongda, Soft Computing, ISSN 1432-7643, Issue 24, Volume 26, 2022.
Digital Object Identifier: 10.1007/s00500-022-07506-w [CrossRef]
[4] Finite Impulse Response Filter Design Using Fuzzy Logic-Based Diversity-Controlled Self-Adaptive Differential Evolution, Mohaideen Abdul Kadhar, K., Rengarajan, S., Tamilselvi, S., Karuppiah, N., Balachandran, Praveen Kumar, Thamilmaran, A., Dhanamjayulu, C., Khan, Baseem, Du, Sheng, International Transactions on Electrical Energy Systems, ISSN 2050-7038, Issue , 2023.
Digital Object Identifier: 10.1155/2023/1572996 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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