Presentation 1995/9/12
Exponential Smoothing Method with Refractory for Inhomogenious-Interval Data
Takayuki Hirano, Tomoyoshi Sato, Atsuhiko Noda,
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Abstract(in English) For applying to non-homogenious-interval data due to data drops, such as stock price series which can not be obtained on Saturdays and Sundays, this paper proposes a novel R-optimal exponential smoothing method with refractory characteristics specific to information processing in nerve cells. The basic idea is that the importance of new datum would increase, when data drop period becomes longer. R-optimal smoothing constant has been analytically derived that would vary according to the interval of data, and the characteristics have been derived. Computer simulation has shown that this novel method is superior to the ordinary exponential smoothing method with fixed smoothing constants as for the smoothing performance, when the intervals of discrete-time data vary.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) refractory / inhomogenious-interval discrete-time data / exponential smoothing method / data drop
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Committee DSP
Conference Date 1995/9/12(1days)
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Registration To Digital Signal Processing (DSP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Exponential Smoothing Method with Refractory for Inhomogenious-Interval Data
Sub Title (in English)
Keyword(1) refractory
Keyword(2) inhomogenious-interval discrete-time data
Keyword(3) exponential smoothing method
Keyword(4) data drop
1st Author's Name Takayuki Hirano
1st Author's Affiliation Department of Industrial Engineering and Management, Faculty of Engineering, Tokyo Institute of Technology()
2nd Author's Name Tomoyoshi Sato
2nd Author's Affiliation Department of Industrial Engineering and Management, Faculty of Engineering, Tokyo Institute of Technology
3rd Author's Name Atsuhiko Noda
3rd Author's Affiliation Department of Industrial Engineering and Management, Faculty of Engineering, Tokyo Institute of Technology
Date 1995/9/12
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Volume (vol) vol.95
Number (no) 227
Page pp.pp.-
#Pages 8
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