Presentation 2003/1/9
Recognition of Time Series based on the Noise Reduction by using the Adaptive Filters and the Hodden Markov Model and its Applications
Noboru TAKAGI, Shozo TOKINAGA,
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Abstract(in English) For the recognition of time series with colored noise based on the Hidden Markov Model, some extension of rdinary HMM is discused, but are bearing some problem, since in these methods the number of states increase exponentially, and sometime become untractable. Previpously, we proposed a noise reduction by using the adaptive filters, and then utilize conventional HMM procedure. In the report, we propose a hierarchical HMM for the recognition of economic time series based on the noise reduction. At first, the innovation is generated by using a prediction filter, and then we identify the noise assuming that the noise-less signal is mixed to noise using the adaptive filters. HMM which occurs in the inverse filtering. Catogirized symbols by the first stage og the HMM are delivered to the second stage of the HMM for the recognition of economic time series.
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Keyword(in English) Noise Reduction / Adaptive Filter / Noise Reduction / Innovation / Hierarchical Hidden Markov Model / Economic Time Series
Paper # DSP2002-177,SAT2002-127,RCS2002-246
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Committee DSP
Conference Date 2003/1/9(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) Recognition of Time Series based on the Noise Reduction by using the Adaptive Filters and the Hodden Markov Model and its Applications
Sub Title (in English)
Keyword(1) Noise Reduction
Keyword(2) Adaptive Filter
Keyword(3) Noise Reduction
Keyword(4) Innovation
Keyword(5) Hierarchical Hidden Markov Model
Keyword(6) Economic Time Series
1st Author's Name Noboru TAKAGI
1st Author's Affiliation Graduate School of Economics,Kyushu University()
2nd Author's Name Shozo TOKINAGA
2nd Author's Affiliation Graduate School of Economics,Kyushu University
Date 2003/1/9
Paper # DSP2002-177,SAT2002-127,RCS2002-246
Volume (vol) vol.102
Number (no) 544
Page pp.pp.-
#Pages 6
Date of Issue