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In this work, an efficient finite impulse response (FIR) filter using Residue Number System (RNS) is proposed. The chosen moduli set offers the advantage of shift and add approach. The proposed filter architecture is compared with an earlier proposed version of reconfigurable RNS FIR filter. The filters are synthesized using Cadence RTL compiler in UMC 90 nm technology. The performance of the filters...
In this work, an efficient finite impulse response (FIR) filter using Residue Number System (RNS) is proposed. The chosen moduli set offers the advantage of shift and add approach. The proposed filter architecture is compared with an earlier proposed version of reconfigurable RNS FIR filter. The filters are synthesized using Cadence RTL compiler in UMC 90 nm technology. The performance of the filters...
In this work, two approaches to realize a look up table (LUT) based finite impulse response (FIR) filter using Residue Number System (RNS) are proposed. The proposed implementations take advantage of shift and add approach offered by the chosen moduli set. The two proposed filter architecture are compared with an earlier proposed version of reconfigurable RNS FIR filter. The filters are synthesized...
In this paper, a constant coefficient finite impulse response (FIR) filter design has been proposed for hearing aid application. The major change in the proposed architecture is the use of 4:2 compressors instead of using adders. The 17 order filter for hearing aid has been realized at gate level using Verilog HDL. The architectures have been implemented in UMC 90nm technology by the use of Cadence...
This work proposes two finite impulse response (FIR) filters using Residue Number Systems (RNS) technique. The moduli set adopted is {2k − 1, 2k, 2k−1 − 1}. The proposed method uses Stored Coefficient Product (SCP) to compute the multiplication of input with the filter coefficient. Further, the circular shift property of the moduli set is exploited to improve the performance of the filter. The two...
Differential evolution (DE) is a population-based optimizer that obtains the solution by iteratively improving the given measure of quality. In this work, DE has been applied in FIR Filter design to optimize the frequency response and the signed-power-of-two (SPT) terms of the filter coefficients. DE is influenced mainly by three design parameters, Strategy S, Mutant factor F and Cross-over probability...
In this work, an efficient finite impulse response (FIR) filter using Residue Number System (RNS) is proposed. The moduli set used in this work is {2k − 1, 2k, 2k−1 − 1}. The benefit of circular shift approach of the chosen moduli set along with Stored Coefficient Product block improves the performance of the filter. The proposed RNS-FIR filter is compared with RNS-FIR filter implemented with moduli...
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