Heuristic Analysis of CIC Filter Design for Next-Generation Wireless Applications

Abinaya, A.; Maheswari, M.; Alqahtani, Abdullah

doi:10.1007/s13369-020-05016-1

Cited by 11 publications

(2 citation statements)

References 28 publications

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“…Example 1. The sharpened polynomial p(x)=-2 -6 x 2 +x 4 , where x is the CIC filter. The passband of interest is defined by ωp=π/4.…”

Section: Minimax Sharpened Cic Filters and Optimum Compensatorsmentioning

confidence: 99%

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Design and FPGA Implementation of Compensator for Sharpening CIC Filter

Jovanovic Dolecek,

Alejandro Martinez Novelo

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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This paper presents a novel compensator design for sharpened CIC (cascade-integrator-comb) proposed in the literature. Sharpened CIC provides higher aliasing attenuation than the CIC filter. However, its passband droop is higher than the corresponding CIC filter and must be compensated. Our motivation was to design a decimator with better compensation than the one proposed in the literature. The proposed decimation filter has two coefficients and six adders. The coefficients are determined using particle swarm optimization (PSO) in MATLAB. Two designs are presented. The first one has two multipliers and six adders. The second is a multiplierless design obtained by presenting optimal coefficients in the signed power-of-two (SPT) form. The proposed design is compared with the design from the literature. The designed compensator is implemented in a field-programmable gate array (FPGA). Details of the implementation are described in the paper.

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“…Example 1. The sharpened polynomial p(x)=-2 -6 x 2 +x 4 , where x is the CIC filter. The passband of interest is defined by ωp=π/4.…”

Section: Minimax Sharpened Cic Filters and Optimum Compensatorsmentioning

confidence: 99%

“…Decreasing the sampling rate in the digital domain has many applications in communications, softwaredefined radio, and oversampled analog-digital converters, among others [1][2][3][4]. Decreasing the sampling rate introduces aliasing, which must be eliminated by the digital decimation or antialiasing filter [5].…”

Section: Introductionmentioning

confidence: 99%