計測情報の数理処理   Mathematical Processing of Measurement Information

文字サイズ 

担当教員
原 精一郎 
使用教室
火3-4(W831)  
単位数
講義:2  演習:0  実験:0
講義コード
77037
シラバス更新日
2015年10月1日
講義資料更新日
2016年1月26日
アクセス指標
学期
後期

講義概要

Recently, because of the improvements of measuring instruments and computers, enormous measurement data can be acquired very easily. However it is not easy to interpret the information contained in such data correctly.
計測機器と情報処理機器の発達に伴い,大量の計測データが容易に得られるようにな
っているが,その中に含まれる情報を正しく解釈することは容易ではない.

講義の目的

In this lecture, mathematical processing method of extracting and recognizing the information contained in 1D and 2D measured data are explained comprehensively and practically.

講義計画

. Acquirement of measurement data
Variations of data, Strategy of measurement
2. Separation of components
Analogue filtering, Digital filtering, Filter bank, Noise reduction, Waveform error removal
3. Recognition of characteristics
Fourier transform, Wavelet transform
Spectrum estimation (FFT, Information entropy)
Auto-correlation, Cross-correlation,
Statistical parameter, Statistical analysis of parameters, Fractal analysis
Sensory test

教科書・参考書等

Textbook: Supplied by the faculty

Reference:
Random Data: Analysis and Measurement Procedures, Julius S. Bendat & Allan G. Piersol, 4th edition, 1998
An Introduction to Stochastic Process with special reference to Methods and Applications, M. S. Bartlett 1966
Chaotic and Fractal Dynamics: An Introduction for Applied Scientists and Engineers, Francis C. Moon, 1992

関連科目・履修の条件等

None

成績評価

Understanding of the knowledge of the lectures, in addition to the ability to apply them to the real measured data
Policy
Assignments and final report.
May be written in Japanese excluding International Graduate Program students.
Attendance to the class

連絡先(メール、電話番号)

Seiichiro Hara harasei@mei.titech.ac.jp

このページのトップへ