Optimal fractional delay-IIR filter design using cuckoo search algorithm

Kumar, Manjeet; Rawat, Tarun Kumar

doi:10.1016/j.isatra.2015.08.007

Cited by 87 publications

(21 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The optimal coefficient of designed fractional order differentiator and integrator is computed using optimization algorithm, namely, particle swarm optimization (PSO), 64 genetic algorithm (GA), 65 and CSA. [57][58][59][60] The optimal set of filter coefficient significantly improve the performance of denoising process. Table 2 summarized the third order fractional differentiator parameters.…”

Section: Results Of Lattice Wave Digital Fractional Order Operatorsmentioning

confidence: 99%

“…To solve nonlinear and nondifferentiable engineering design problems is challenging task for practitioners. Significant advancement in evolutionary techniques have been done to tackle these issues . Cuckoo search algorithm (CSA) is based on unique brood parasitism of cuckoo species with Levy flights approach .…”

Section: Algorithm Designmentioning

confidence: 99%

“…Significant advancement in evolutionary techniques have been done to tackle these issues. [57][58][59][60] Cuckoo search algorithm (CSA) is based on unique brood parasitism of cuckoo species with Levy flights approach . 57 Like other nature inspired algorithms, CSA is also used to find the optimal solution of the problem under consideration from the search pace.…”

Section: Preprocessing Stagementioning

confidence: 99%

See 2 more Smart Citations

Design of efficient fractional operator for ECG signal detection in implantable cardiac pacemaker systems

Kumar

Komaragiri

Kumar

2019

Circuit Theory & Apps

Self Cite

View full text Add to dashboard Cite

Summary A low power and high‐performance digital electrocardiogram (ECG) detector has become a basic requirement in modern implantable cardiac pacemakers. A fractional operator‐based digital ECG detector for modern pacemaker systems is proposed in this work. Instead of conventional thresholding, an adaptive slope prediction threshold is utilized for the detection of ECG peaks. A stochastic search‐based algorithm, namely, cuckoo search algorithm, is used to design an optimal fractional operator that is used for ECG denoising. It has been found that the proposed adaptive slope prediction threshold increases the QRS complex detection performance. A low detection error rate (DER) ranges from 0.01% to 0.56%, positive predictivity (P+) ranges from 99.32% to 99.98%, sensitivity (Se) ranges from 99.45% to 99.98%, and a detection accuracy (Acc) ranges from 99.43% to 99.96% for different databases are achieved for the proposed ECG detector, which is better compared with the existing ECG detectors. The proposed design of fractional order operator based on the lattice wave digital filter (LWDF) requires a minimum number of the multipliers for its structural realization.

show abstract

Section: Results Of Lattice Wave Digital Fractional Order Operatorsmentioning

confidence: 99%

Section: Algorithm Designmentioning

confidence: 99%

Section: Preprocessing Stagementioning

confidence: 99%

See 1 more Smart Citation

Design of efficient fractional operator for ECG signal detection in implantable cardiac pacemaker systems

Kumar

Komaragiri

Kumar

2019

Circuit Theory & Apps

Self Cite

View full text Add to dashboard Cite

show abstract

“…The improved identification performance offered by CSA, in terms of reduced MSE, over GA and PSO based IIR system identification methods are evident from the results reported in the work. CSA was used for the design of a fractional delay IIR filter in (Kumar and Rawat, 2015). In (Cuevas et al, 2014), performance of CSA, flower pollination algorithm (FPA), electromagnetism-like optimization (EM), PSO and ABC were compared for equal and reduced order IIR modelling.…”

Section: Iir System Identification and Filter Designmentioning

confidence: 99%

Swarm and evolutionary computing algorithms for system identification and filter design: A comprehensive review

Gotmare

Bhattacharjee

Patidar

et al. 2017

Swarm and Evolutionary Computation

View full text Add to dashboard Cite

“…Evolutionary optimization algorithms are applied in different fields of engineering and technology . RGA is an evolutionary optimization technique that has been used in several fields of applications, including the filter design in recent years .…”

Section: Hs Algorithm and Statistical Analysis Testsmentioning

confidence: 99%

Optimal design of wideband digital integrators and differentiators using harmony search algorithm

Mahata

Saha

Kar

et al. 2016

Int J Numerical Modelling

View full text Add to dashboard Cite

This paper presents an efficient approach to design stable, wideband, and infinite impulse response digital integrators (DIs) and digital differentiators (DDs) of first, second, third, and fourth order using an evolutionary optimization algorithm called harmony search (HS). In recent years, although wideband DIs and DDs have been designed using metaheuristic optimization techniques such as simulated annealing, genetic algorithm, and particle swarm optimization (PSO), these algorithms lead to sub‐optimal solutions because of stagnation and premature convergence. HS algorithm, however, promises an enhanced frequency response for DIs and DDs because of the better exploration and exploitation of the search space. Simulation results demonstrate the superiority of HS‐based designs as compared with three well‐known benchmark evolutionary optimization algorithms, namely real coded genetic algorithm (RGA), PSO, and differential evolution (DE) based designs by yielding the least values of different magnitude response error metrics. Parametric and non‐parametric statistical hypothesis tests are also conducted to compare the consistency in the performance of HS‐based DIs and DDs with those of the designs based on RGA, PSO, and DE. The proposed HS‐based designs also outperform those of the designs based on both classical and evolutionary optimization approaches reported in recent literature in terms of the maximum absolute magnitude error metric.

show abstract

Optimal fractional delay-IIR filter design using cuckoo search algorithm

Cited by 87 publications

References 51 publications

Design of efficient fractional operator for ECG signal detection in implantable cardiac pacemaker systems

Design of efficient fractional operator for ECG signal detection in implantable cardiac pacemaker systems

Swarm and evolutionary computing algorithms for system identification and filter design: A comprehensive review

Optimal design of wideband digital integrators and differentiators using harmony search algorithm

Contact Info

Product

Resources

About