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EFFICIENT SYSTOLIC SINUSOIDAL SEQUENCE GENERATION.

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Title: EFFICIENT SYSTOLIC SINUSOIDAL SEQUENCE GENERATION.
Authors: Alwan, Nuha A. S.1 n.alwan@ieee.org
Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Apr2008, Vol. 33 Issue 1B, p179-186. 8p. 3 Diagrams, 1 Chart.
Subjects: Systolic array circuits, Evolutionary computation, Computational complexity, Stiff computation (Differential equations), Mathematics in electrical engineering, Signal processing
Abstract: The numerical computation of sinusoidal sequences from truncated trigonometric series can be achieved systolically, resulting in a substantial speed advantage over Von Neumann machines when the series is evaluated for successive values of the input argument. The computation is made especially efficient by using Horner's method of polynomial evaluation resulting in a higher generation rate when compared to previous work involving the direct systolic evaluation of the series. Besides, division inside the processing element (PE) can be avoided when Horner's method is employed. The function generation rate and throughput of the systolic parallel system improve by the number of terms used in the truncated series compared to serial processing. [ABSTRACT FROM AUTHOR]
Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: EFFICIENT SYSTOLIC SINUSOIDAL SEQUENCE GENERATION.
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  Data: <searchLink fieldCode="DE" term="%22Systolic+array+circuits%22">Systolic array circuits</searchLink><br /><searchLink fieldCode="DE" term="%22Evolutionary+computation%22">Evolutionary computation</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Stiff+computation+%28Differential+equations%29%22">Stiff computation (Differential equations)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+in+electrical+engineering%22">Mathematics in electrical engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink>
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  Data: The numerical computation of sinusoidal sequences from truncated trigonometric series can be achieved systolically, resulting in a substantial speed advantage over Von Neumann machines when the series is evaluated for successive values of the input argument. The computation is made especially efficient by using Horner's method of polynomial evaluation resulting in a higher generation rate when compared to previous work involving the direct systolic evaluation of the series. Besides, division inside the processing element (PE) can be avoided when Horner's method is employed. The function generation rate and throughput of the systolic parallel system improve by the number of terms used in the truncated series compared to serial processing. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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      – SubjectFull: Systolic array circuits
        Type: general
      – SubjectFull: Evolutionary computation
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      – SubjectFull: Computational complexity
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      – SubjectFull: Stiff computation (Differential equations)
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      – SubjectFull: Mathematics in electrical engineering
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      – SubjectFull: Signal processing
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      – TitleFull: EFFICIENT SYSTOLIC SINUSOIDAL SEQUENCE GENERATION.
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              Text: Apr2008
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