1990
DOI: 10.1109/12.53594
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Redundant and on-line CORDIC: application to matrix triangularization and SVD

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Cited by 168 publications
(60 citation statements)
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“…The main drawback of this method, however, is its necessity of performing two conventional CORDIC iterations in parallel, which consumes more silicon area than classical methods [39]. The work proposed in [34] has also been extended to the vectoring mode [37], and correcting operations are included further to keep the scaling factor constant so as to eliminate the hardware for scaling.…”
Section: Redundant-number-based Cordic Implementationmentioning
confidence: 99%
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“…The main drawback of this method, however, is its necessity of performing two conventional CORDIC iterations in parallel, which consumes more silicon area than classical methods [39]. The work proposed in [34] has also been extended to the vectoring mode [37], and correcting operations are included further to keep the scaling factor constant so as to eliminate the hardware for scaling.…”
Section: Redundant-number-based Cordic Implementationmentioning
confidence: 99%
“…The use of redundant number system is therefore another way to speed up the CORDIC iterations. A CORDIC implementation based on the redundant number system called as redundant CORDIC was proposed by Ercegovac and Lang and applied to matrix triangularization and singular value decomposition [34]. Rotation mode redundant CORDIC has been found to result in fast implementation of sinusoidal function generation, unitary matrix transformation, angle calculation and rotation [34]- [38].…”
Section: Redundant-number-based Cordic Implementationmentioning
confidence: 99%
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“…One way to improve the latency is to reduce the number of iteration count. Ercegovac and Lang [7] developed the Online CORDIC. Online CORDIC is suitable for applications where input bits became available serially.…”
Section: Cordic Algorithmmentioning
confidence: 99%