Design of discrete coefficient FIR digital filters with arbitrary amplitude and phase responses

Lee, J.-H.; Chen, C.-K.; Lim, Y.C.

doi:10.1109/82.238373

Cited by 23 publications

(7 citation statements)

References 12 publications

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“…where K is the filter order; and a(k) is the filter coefficient. Then, the frequency response data H sin (jω) is used to estimate the transfer function by minimizing a cost function J given by [26]:…”

Section: B Conceptualization Of Complex Brick-wall Band-pass Filtermentioning

confidence: 99%

A New Phasor Estimator for PMU Applications: P Class and M Class

Razo-Hernández

Mejia-Barron

Granados-Lieberman

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Phasor measurement units (PMUs) are fundamental tools in the applications of modern power systems, where synchronized phasor estimations are needed. The accuracy and dynamic performance requirements for phasor, frequency, and rate of change of frequency (ROCOF) estimations are established in the IEEE Std. C37.118.1-2011 along with the IEEE Std. C37.118.1a-2014, where two PMU performances are suggested: P class filters for applications requiring fast response and M class filters for applications requiring high rejection to aliased signals. In this paper, a methodology to design new phasor estimators that satisfy the P class and M class requirements in PMUs is presented. The proposed methodology is based on finite impulse response filters, brick-wall filters, and complex filter design concepts, where frequency range, time performance, harmonic rejection and out-of-band interference requirements are considered in its design. A comparative analysis using the reference model given by the IEEE Std. C37.118.1 is presented. The results show the effectiveness of the phasor estimators under steady-state and dynamic conditions according to the PMU standard, making them suitable tools for applications in power systems.

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Section: B Conceptualization Of Complex Brick-wall Band-pass Filtermentioning

confidence: 99%

A New Phasor Estimator for PMU Applications: P Class and M Class

Razo-Hernández

Mejia-Barron

Granados-Lieberman

et al. 2020

Journal of Modern Power Systems and Clean Energy

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show abstract

“…Several methods have been proposed for coefficient truncation: exhaustive search over possible truncated coefficients 1, successive truncation of coefficients and re‐optimization over remaining ones 2, 5, local bivariate search around the scaled and truncated coefficients 6, tree‐traversal techniques for truncated coefficients organized in a tree according to their complexity 7, 8, coefficient quantization using information‐theoretic bounds 9, weighted least squares 10, simulated annealing 11, 12, genetic algorithms 13, 14, Tabu search 15, and design of optimal filter realizations that minimize coefficient complexity 11, 16. Other approaches have formulated the problem as a nonlinear discrete optimization problem 17, or have used integer programming techniques over the space of powers‐of‐two coefficients 18, 19.…”

Section: Introductionmentioning

confidence: 99%

Wireless Electrografting of Molecular Layers for Janus Particle Synthesis

Kumsapaya

Bakaï

Loget

et al. 2012

Chemistry A European J

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“…The famous methods are Remez permutation algorithm based on the rule about maximal error minimum and linear programming algorithm in all the methods. The weight least square (WLS) algorithm easily come true, and can acquire analytical solution [1], [2], [3], but it must calculate the inverse of a matrix. The matrix's rank is the number of the independent coefficients of the filter.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of the High Order FIR Multi-Band-Stop Filters

Zeng

Zhang

Wang

2006

2006 6th World Congress on Intelligent Control and Automation

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This paper traverses the relations between the amplitude-frequency response of FIR filters with the linear phase and the parallel algorithm of neural network, which its activation matrix is W C H T d , presents and proves the convergence theorem of the neural-network parallel algorithm, and gives the optimal design examples of high order FIR multiband-stop digital filters. The results show that the parallel algorithm is efficient in the field of optimal design on the high order FIR multi-band-stop digital filters with the linear phase.

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Design of discrete coefficient FIR digital filters with arbitrary amplitude and phase responses

Cited by 23 publications

References 12 publications

A New Phasor Estimator for PMU Applications: P Class and M Class

A New Phasor Estimator for PMU Applications: P Class and M Class

Wireless Electrografting of Molecular Layers for Janus Particle Synthesis

Optimal Design of the High Order FIR Multi-Band-Stop Filters

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