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Research Article Open access CC BY 4.0

Real-time Optimization and Implementation of Multi-rate Digital FIR Kernel Filter

Stephen U. Ufoaroh, Kelvin N. Nnamani, Azubuike N. Aniedu

Journal of Engineering Research and Reports · pp. 44–58 · Published 13 Dec 2021

10.9734/jerr/2021/v21i717478

Abstract

One ideal performance of this design is in the areas of decimation where a decimation factor of 10, 45-order and pass band ripple of 1dB and interpolation of sampled rates where a sinusoidal signal input produced a ripple free output with interpolation factor of 10, 52-order and stopband attenuation of 60dB. Owing to the multiple samples of filter length of 200, the filter performed down sampling preceded with filtering as well as up sampling preceded with filtering, hence multi-rate filter by allowing a low threshold of frequency of  to be passed, blocking a high threshold of   and vice versa. There was resampled output increased to 150% preceded by filtering. The filter coefficients for low pass and high pass Digital FIR filter, through the least square regression method, parks McClellan Algorithm and window methods were employed for easy optimization. More so, there was creation of 2-4-5 filter channel banks through the 2nd-level convolution of their down sampling and up sampling filtering techniques during the multi-irate filtering to ensure the design of error-free Digital FIR Filter using MATLAB File editor(M-File) and tool boxes for writing the C-programming of the design. In the analysis, the mean and standard deviation of the low pass Digital FIR Filter output during decimation and interpolation are (0.26, 6.13) and (0.004,1.22) respectively.

MATLAB multi-rate digital FIR filter sampling low pass high pass filter banks.

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