Abstract
This paper presents novel architectures for linear-phase FIR digital filters using stochastic computing. Stochastic computing systems require fewer logic gates and are inherently fault-tolerant. Thus, these structures are well suited for nanoscale CMOS technologies. Compared to direct-form linear-phase FIR filters, linear-phase lattice filters require twice the number of multipliers but the same number of adders. The hardware complexities of stochastic implementations of linear-phase FIR filters for direct-form and lattice structures are comparable. This is because multipliers do not require any more area than adders. Two stochastic implementations of lattice FIR filters are proposed in this paper. Using speech signals from ICA ’99 Synthetic Benchmarks, it is shown that, for linear-phase FIR filters, the signal-to-error ratios of stochastic direct-form and stochastic lattice filters are abou the same.
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References
Gaines, B.R. (1967). Stochastic computing. In Proceedings of AFIPS Spring Joint Computer Conference (pp.149–156). ACM.
Alaghi, A., & Hayes, J.P. (2013). Survey of stochastic computing. ACM Transactions on Embedded computing systems (TECS), 12(2s), 92.
Qian, W., Li, X., Riedel, M.D., Bazargan, K., & Lilja, D.J. (2011). An architecture for fault-tolerant computation with stochastic logic. IEEE Transactions on Computers, 60(1), 93–105.
Brown, B.D., & Card, H.C. (2001). Stochastic neural computation. I. computational elements. IEEE Transactions on Computers, 50(9), 891–905.
Dinu, A., Cirstea, M., & McCormick, M. (2002). Stochastic implementation of motor controllers. In Proceedings of the 2002 IEEE International Symposium on Industrial Electronics (ISIE) (Vol. 2, pp. 639–644).
Chang, Y.-N., & Parhi, K.K. (2013). Architectures for digital filters using stochastic computing. In Proceedings of 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2697–2701).
Parhi, K.K., & Liu, Y. (2014). Architectures for IIR digital filters using stochastic computing. In Proceedings of 2014 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 373–376).
Gray, A.Jr., & Markel, J. (1973). Digital lattice and ladder filter synthesis. IEEE Transactions on Audio and Electroacoustics, 21(6), 491–500.
Parhi, K.K. (1999). VLSI digital signal processing systems: design and implementation. Wiley.
Schwarz, K. (1993). Linear phase FIR-filter in lattice structure. In Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), 1993 (pp. 347–350).
Liu, Y., & Parhi, K.K. (2015). Lattice FIR digital filters using stochastic computing. In Proceedings of 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia (pp. 1027–1031).
ICA’99 synthetic benchmarks. http://sound.media.mit.edu/ica-bench/, Sept. 2014.
Schur, J. (1917). Über potenzreihen, die im innern des einheitskreises beschränkt sind. Journal für die reine und angewandte Mathematik, 147, 205–232. ArchitecturesforstochasticnormalizedandmodifiedlatticeIIRfilters(PacificGrove,CA,2015)
Oppenheim,A.V.,Schafer,R.W.,Buck,J.R.,&etal.(1989).Discrete-timesignalprocessingVol.2. Prentice-hall,EnglewoodCliffs.
Parhi,R.,Kim,C.H.,&Parhi,K.K.(2015).Fault-tolerantripple-carrybinaryadderusingpartialtriple modularredundancy(PTMR).
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This research was supported by the National Science Foundation under grant number CCF-1319107.
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Liu, Y., Parhi, K.K. Linear-Phase Lattice FIR Digital Filter Architectures Using Stochastic Logic. J Sign Process Syst 90, 791–803 (2018). https://doi.org/10.1007/s11265-017-1224-z
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DOI: https://doi.org/10.1007/s11265-017-1224-z