This work presents a simple study of stochastic arithmetic complex number operators for addition and multiplication. Their usage is demonstrated by design of a sum of product circuit As the stochastic complex number operators need more control random streams than stochastic rational number operators, we optimized the number of random generators used in the real circuit. In the end our sum of product circuit contains two LFSRs thus we analyzed the impact of the choice of the seeds for the LFSRs on the quality of the calculated results. By using exhaustive search over the LFSR state space we were able to reduce the output RMSE by 34% in comparison to choice of the equally spaced seeds over the LFSR state space
Abstract. Most digital systems operate on a positional representation of data, such as binary radix....
As integrated circuits move into the sub-10nm range, their reliability decreases due to reduced nois...
In conventional stochastic computation, all the input streams are Bernoulli sequences (BSs), which m...
This work presents a simple study of stochastic arithmetic complex number operators for addition and...
International audienceStochastic arithmetic has been developed as amodel for exact computing with im...
Abstract—Stochastic computing (SC) is an unconventional paradigm to realize arithmetic computation, ...
Stochastic computing (SC) was proposed in the 1960s as a low-cost alternative to conventional binary...
Among the different pulse codification techniques, stochastic pulse codification has its own arithm...
International audienceIn this work we study relevant ringoid structures in stochastic arithmetic inv...
Stochastic resonance (SR) is a phenomenon where the performance of a nonlinear system subjected to n...
International audienceStochastic arithmetic involving addition and multiplication by scalars is stud...
Abstract—The paradigm of logical computation on stochastic bit streams has several key advantages co...
International audienceIt has been recently shown that computation with stochastic numbers as regard ...
Stochastic computing (SC) is an unconventional computing paradigm that operates on stochastic bit st...
A method for for simulating quantum computing circuits using stochastic processes is described and a...
Abstract. Most digital systems operate on a positional representation of data, such as binary radix....
As integrated circuits move into the sub-10nm range, their reliability decreases due to reduced nois...
In conventional stochastic computation, all the input streams are Bernoulli sequences (BSs), which m...
This work presents a simple study of stochastic arithmetic complex number operators for addition and...
International audienceStochastic arithmetic has been developed as amodel for exact computing with im...
Abstract—Stochastic computing (SC) is an unconventional paradigm to realize arithmetic computation, ...
Stochastic computing (SC) was proposed in the 1960s as a low-cost alternative to conventional binary...
Among the different pulse codification techniques, stochastic pulse codification has its own arithm...
International audienceIn this work we study relevant ringoid structures in stochastic arithmetic inv...
Stochastic resonance (SR) is a phenomenon where the performance of a nonlinear system subjected to n...
International audienceStochastic arithmetic involving addition and multiplication by scalars is stud...
Abstract—The paradigm of logical computation on stochastic bit streams has several key advantages co...
International audienceIt has been recently shown that computation with stochastic numbers as regard ...
Stochastic computing (SC) is an unconventional computing paradigm that operates on stochastic bit st...
A method for for simulating quantum computing circuits using stochastic processes is described and a...
Abstract. Most digital systems operate on a positional representation of data, such as binary radix....
As integrated circuits move into the sub-10nm range, their reliability decreases due to reduced nois...
In conventional stochastic computation, all the input streams are Bernoulli sequences (BSs), which m...