2016
DOI: 10.13164/re.2016.0383
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Efficient Design of Digital FIR Differentiator using $L_1$-Method

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Cited by 17 publications
(7 citation statements)
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“…Many analytical approaches to design DD and DI with some desired characteristics have been proposed and demonstrated in [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. The use of evolutionary and swarm intelligence algorithms to design and optimize the performance of DDs and DIs has been reported in [17][18][19][20][21][22][23][24][25][26]. For examples, the design of DD and DI is demonstrated using genetic algorithm (GA) in [17], simulated annealing (SA), GA, and modified Fletcher and Powell (FP) optimization in [18], particle swarm optimization (PSO) in [19].…”
Section: Introductionmentioning
confidence: 99%
“…Many analytical approaches to design DD and DI with some desired characteristics have been proposed and demonstrated in [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. The use of evolutionary and swarm intelligence algorithms to design and optimize the performance of DDs and DIs has been reported in [17][18][19][20][21][22][23][24][25][26]. For examples, the design of DD and DI is demonstrated using genetic algorithm (GA) in [17], simulated annealing (SA), GA, and modified Fletcher and Powell (FP) optimization in [18], particle swarm optimization (PSO) in [19].…”
Section: Introductionmentioning
confidence: 99%
“…In recent year, the substantial research in the field of 1D system design using the L1 ‐method and the L1 ‐norm criterion has been cited in the literature [36–42]. Aggarwal et al .…”
Section: Introductionmentioning
confidence: 99%
“…The L1 ‐method was applied for designing of the digital differentiator, filters and Hilbert transformer by Aggarwal et al . in 2015, 2016 [39–42] with the objective to optimise the filter coefficients such that the error is minimised.…”
Section: Introductionmentioning
confidence: 99%
“…Upadhyay, in [20], has used Pole-Zero Optimization to achieve integrators with relative error in magnitude response not exceeding 0.37 %. In [21], efficient design of FIR digital differentiator using the L 1optimality criterion is proposed.…”
Section: Introductionmentioning
confidence: 99%