1980
DOI: 10.1117/12.958883
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<title>Accurate Numerical Computation By Optical Convolution</title>

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Cited by 37 publications
(8 citation statements)
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“…7,11,[13][14][15][16][17][18][19] While the speed with which such analog operations can be performed is a great advantage of optical vector-matrix multiplier, the achievable numerical accuracy is rather low due to the noise sensitivity of analog number representations. Despite the fact that additional preprocessing and postprocessing phases are required at the cost of speed, optical processors using digital number representations are promising to achieve high-accuracy and highspeed vector-matrix multiplication.…”
Section: Discussionmentioning
confidence: 99%
“…7,11,[13][14][15][16][17][18][19] While the speed with which such analog operations can be performed is a great advantage of optical vector-matrix multiplier, the achievable numerical accuracy is rather low due to the noise sensitivity of analog number representations. Despite the fact that additional preprocessing and postprocessing phases are required at the cost of speed, optical processors using digital number representations are promising to achieve high-accuracy and highspeed vector-matrix multiplication.…”
Section: Discussionmentioning
confidence: 99%
“…To solve the carry problem people propose diversified non-binary number system like residue number system, multiple-valued fixed-radix number system, signed digit number system [3][4][5]. MSD (modified signed digit number) is the subset of signed digit number system.…”
Section: Introductionmentioning
confidence: 99%
“…The OLAP discussed here has been detailed in previous literature [2][3][4]. To achieve high accuracy, we use the digital multiplication by analog convolution (DMAC) algorithm [5][6][7] with multi-level encoding [2] and a negative base [8] to handle bipolar numbers.…”
Section: Introductionmentioning
confidence: 99%