TY - GEN
T1 - High-Precision Stochastic State-Space Digital Filters Based on Minimum Roundoff Noise Structure
AU - Koshita, Shunsuke
AU - Onizawa, Naoya
AU - Abe, Masahide
AU - Hanyu, Takahiro
AU - Kawamata, Masayuki
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number 15K06049.
PY - 2018/4/26
Y1 - 2018/4/26
N2 - Digital filters based on stochastic computation have recently gained considerable attention because the stochastic computation attains significant reduction of hardware complexity of digital filters compared with the classical deterministic binary computation-based filters. For stochastic IIR filters, Liu and Parhi proposed an elegant method that achieves high precision by means of the normalized state-space lattice structure. This paper extends the result and presents stochastic state-space IIR filters with higher precision than the conventional method. Instead of using the normalized lattice structure, our method makes use of the minimum roundoff noise structure in realizing stochastic state-space filters, leading to further improvement of arithmetic precision of IIR filtering compared with the conventional method. Experimental results show that our method gives higher signal-to-error ratio at the filter outputs than the conventional method.
AB - Digital filters based on stochastic computation have recently gained considerable attention because the stochastic computation attains significant reduction of hardware complexity of digital filters compared with the classical deterministic binary computation-based filters. For stochastic IIR filters, Liu and Parhi proposed an elegant method that achieves high precision by means of the normalized state-space lattice structure. This paper extends the result and presents stochastic state-space IIR filters with higher precision than the conventional method. Instead of using the normalized lattice structure, our method makes use of the minimum roundoff noise structure in realizing stochastic state-space filters, leading to further improvement of arithmetic precision of IIR filtering compared with the conventional method. Experimental results show that our method gives higher signal-to-error ratio at the filter outputs than the conventional method.
KW - IIR filter
KW - Stochastic computation
KW - minimum roundoff noise structure
KW - state-space representation
UR - http://www.scopus.com/inward/record.url?scp=85057075519&partnerID=8YFLogxK
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U2 - 10.1109/ISCAS.2018.8351186
DO - 10.1109/ISCAS.2018.8351186
M3 - Conference contribution
AN - SCOPUS:85057075519
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018
Y2 - 27 May 2018 through 30 May 2018
ER -