Efficient Stochastic Computing FIR Filtering Using Sigma-Delta Modulated Signals

Autor: Nikos Temenos, Anastasis Vlachos, Paul P. Sotiriadis
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Technologies, Vol 10, Iss 1, p 14 (2022)
Druh dokumentu: article
ISSN: 2227-7080
DOI: 10.3390/technologies10010014
Popis: This work presents a soft-filtering digital signal processing architecture based on sigma-delta modulators and stochastic computing. A sigma-delta modulator converts the input high-resolution signal to a single-bit stream enabling filtering structures to be realized using stochastic computing’s negligible-area multipliers. Simulation in the spectral domain demonstrates the filter’s proper operation and its roll-off behavior, as well as the signal-to-noise ratio improvement using the sigma-delta modulator, compared to typical stochastic computing filter realizations. The proposed architecture’s hardware advantages are showcased with synthesis results for two FIR filters using FPGA and synopsys tools, while comparisons with standard stochastic computing-based hardware realizations, as well as with conventional binary ones, demonstrate its efficacy.
Databáze: Directory of Open Access Journals