2021
DOI: 10.1109/access.2021.3066292
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A Novel Approach for Optimal Design of Sample Rate Conversion Filter Using Linear Optimization Technique

Abstract: This paper presents a sample rate conversion filter for decimation with flat passband. The proposed linear programming optimization (LPO) technique improves the magnitude response of filter with least computational complexity. Computational complexity has been a major factor in selection of decimation filter. Simulation results indicate that the proposed filter shows passband droop less than 0.007 dB with 50.5% decrease in computational complexity. The proposed filter eliminates the need of compensator.

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Cited by 24 publications
(39 citation statements)
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References 24 publications
(21 reference statements)
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“…Authors in [11] proposed a two-stage decimation filter. In the first stage is a comb filter of order Q, while in the second stage is a sharpened comb.…”
Section: Comparison With Methods In [11]mentioning
confidence: 99%
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“…Authors in [11] proposed a two-stage decimation filter. In the first stage is a comb filter of order Q, while in the second stage is a sharpened comb.…”
Section: Comparison With Methods In [11]mentioning
confidence: 99%
“…The procedure of using particleswarm.m to get the parameters A and B for a given M, and K is presented in [14], and is not repeated here. The only difference is that here the optimization is performed for the proposed filter (11) and in [14] for the comb filter.…”
Section: Compensationmentioning
confidence: 99%
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