DocumentCode :
1768329
Title :
High performance absolute value calculator based on stochastic computing
Author :
Jiangyun Zhou ; Jianhao Hu ; Jienan Chen
Author_Institution :
Nat. key Lab. of Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2014
fDate :
1-5 June 2014
Firstpage :
365
Lastpage :
368
Abstract :
In this paper, we propose a Sliding Window Method (SWM) to calculate absolute value based on the stochastic computing. We prove that the absolute value of the stochastic stream can be obtained from the limiting distribution of the Markov chain by establishing a Markov model of SWM. The proposed schemes can be employed to both unipolar and bipolar stochastic streams. The simulation and design reports show that the hardware efficiency of the proposed stochastic absolute value calculator is as four times as existing methods.
Keywords :
Markov processes; formal logic; Markov chain; Markov model; SWM; bipolar stochastic stream; high performance absolute value calculator; sliding window method; stochastic absolute value calculator; stochastic computing; unipolar stochastic stream; Accuracy; Computational efficiency; Computational modeling; Hardware; Markov processes; Registers; Markov model; Sliding Window Method (SWM); Stochastic Absolute Value; Stochastic Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
Conference_Location :
Melbourne VIC
Print_ISBN :
978-1-4799-3431-7
Type :
conf
DOI :
10.1109/ISCAS.2014.6865141
Filename :
6865141
Link To Document :
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