The Experts below are selected from a list of 279 Experts worldwide ranked by ideXlab platform
F. Taylor - One of the best experts on this subject based on the ideXlab platform.
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Roundoff error analysis of the discrete Wigner distribution using fixed-point arithmetic
IEEE Transactions on Signal Processing, 1991Co-Authors: C Griffin, F. TaylorAbstract:The issue of roundoff noise effects in the implementation of the discrete Wigner distribution using fixed-point arithmetic is addressed. The sign-magnitude number representation is assumed throughout the analysis. The measure of roundoff noise effects in an algorithm is the output Noise-to-Signal Ratio. Using a statistical model, an analytical expression of the Noise-to-Signal Ratio is derived as a function of the wordlength b and the transform length N. The Noise-to-Signal Ratio is obtained by evaluating the signal and noise powers at different points in the algorithm, then reflecting to the output both signal and noise powers. Based on the derived Noise-to-Signal Ratio is is noted that if the transform length is doubled, then) one additional bit is required in the wordlength to maintain a constant Noise-to-Signal Ratio. It is demonstrated through the software simulations that the predicted Noise-to-Signal Ratio is a good closed-form estimate of the 'true' roundoff error. It is also found from the simulation that the wordlength b and the transform length N=2/sup v/ must satisfy the condition b-v>or=4.
C Griffin - One of the best experts on this subject based on the ideXlab platform.
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Roundoff error analysis of the discrete Wigner distribution using fixed-point arithmetic
IEEE Transactions on Signal Processing, 1991Co-Authors: C Griffin, F. TaylorAbstract:The issue of roundoff noise effects in the implementation of the discrete Wigner distribution using fixed-point arithmetic is addressed. The sign-magnitude number representation is assumed throughout the analysis. The measure of roundoff noise effects in an algorithm is the output Noise-to-Signal Ratio. Using a statistical model, an analytical expression of the Noise-to-Signal Ratio is derived as a function of the wordlength b and the transform length N. The Noise-to-Signal Ratio is obtained by evaluating the signal and noise powers at different points in the algorithm, then reflecting to the output both signal and noise powers. Based on the derived Noise-to-Signal Ratio is is noted that if the transform length is doubled, then) one additional bit is required in the wordlength to maintain a constant Noise-to-Signal Ratio. It is demonstrated through the software simulations that the predicted Noise-to-Signal Ratio is a good closed-form estimate of the 'true' roundoff error. It is also found from the simulation that the wordlength b and the transform length N=2/sup v/ must satisfy the condition b-v>or=4.
Sergey Smirnov - One of the best experts on this subject based on the ideXlab platform.
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influence of noise amplification on geneRation of regular short pulse trains in optical fibre pumped by intensity modulated cw radiation
Optics Express, 2008Co-Authors: S M Kobtsev, Sergey SmirnovAbstract:For the first time the influence of noise amplification on decay of modulated continuous-wave pumping into a pulse series in an optical fiber is considered. Dependence of Noise-to-Signal Ratio in pulse train at fibre exit on initial modulation depth obtained both analytically and by means of numerical simulations. The minimum modulation frequency is estimated which leads to a regular pulse train formation from CW pumping.
R. Storn - One of the best experts on this subject based on the ideXlab platform.
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Radix-2 FFT-pipeline architecture with reduced Noise-to-Signal Ratio
IEE Proceedings - Vision Image and Signal Processing, 1994Co-Authors: R. StornAbstract:A radix-2 FFT-pipeline architecture has been developed which exhibits a two- to three-bit increase in accuracy for transform lengths N greater than 2/sup 10/ if fixed-point arithmetic is utilised. The algorithm in use is a unification of the Cooley-Tukey radix-4 and radix-4+2 decompositions.
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Some results in fixed point error analysis of the Bruun-FTT algorithm
IEEE Transactions on Signal Processing, 1993Co-Authors: R. StornAbstract:Results for a fixed-point error analysis of the Bruun-fast Fourier-transform (FFT) algorithm are presented. The Noise-to-Signal Ratio of the Bruun algorithm is evaluated theoretically as well as experimentally and is compared to that of the decimation-in-time FFT. The Noise-to-Signal Ratio of the Bruun-FFT is found to be significantly higher if safe scaling is applied in both cases.
S M Kobtsev - One of the best experts on this subject based on the ideXlab platform.
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influence of noise amplification on geneRation of regular short pulse trains in optical fibre pumped by intensity modulated cw radiation
Optics Express, 2008Co-Authors: S M Kobtsev, Sergey SmirnovAbstract:For the first time the influence of noise amplification on decay of modulated continuous-wave pumping into a pulse series in an optical fiber is considered. Dependence of Noise-to-Signal Ratio in pulse train at fibre exit on initial modulation depth obtained both analytically and by means of numerical simulations. The minimum modulation frequency is estimated which leads to a regular pulse train formation from CW pumping.
