1997 Fiscal Year Final Research Report Summary
Study in Analysis Method of Nonstationary Signals
| Project/Area Number |
08650455
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報通信工学
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| Research Institution | THE INSTITUTE OF STATISTICAL MATHEMATICS |
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Principal Investigator |
ISHIGURO Makio the Institute of Statistical Mathematics, Department of Prediction and Control, Professor, 予測制御研究系, 教授 (10000217)
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| Co-Investigator(Kenkyū-buntansha) |
FUKASAWA Atsushi Chiba University, Faculties of Engineering, Professor, 工学部, 教授 (70292711)
TAKIZAWA Yumi the Institute of Statistical Mathematics, Department of Prediction and Control,, 予測制御研究系, 助教授 (90280528)
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| Project Period (FY) |
1996 – 1997
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| Keywords | Nonstationary signal / Time-series analysis / Signal processing / Spectral analysis |
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| Research Abstract |
Most of observed signals in natural and social phenomena are nonstationary. However the conventional signal analysis methods are based on an assumption of stationary condition, so that the reliability of results brought by these methods are not satisfied for practical signals. On the other hand, high capability of signal analysis technique is required as bio-systems have flexibility and preciseness for detection, extraction, and analysis corresponding to nonstationary signals.
The researchers studied a novel approach to nonstationary phenomena based on the information contained in time-variations of signals, and proposed a new method for nonstationary processes supported by this Grant, The new analysis method applied to practical signals of bio-system including Electroencephalogram signal in human sleep. Considering modulation as one of nonstationary signals, the researchers studied also basic investigation of Spread Spectral (SS) modulation scheme and application to personal mobile communication services.
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