Spectrum analysis by autoregressive methods (Performance on application to stationary signals)

JSME International Journal, Series C: Dynamics, Control, Robotics, Design and Manufacturing

Volumn 39, Issue 2, 1996, Pages 179-187

  Kamata, Minoru ^a   Ngamsritragul, Panyarak ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b PRINCE OF SONGKLA UNIVERSITY   (Thailand)

Author keywords

AR Method; Signal Analysis; Signal Processing; Spectrum Analysis; Time Series Analysis

Indexed keywords

PERFORMANCE; REGRESSION ANALYSIS; SIGNAL PROCESSING; SIGNAL THEORY; SPECTRUM ANALYSIS; TIME SERIES ANALYSIS;

AUTOREGRESSIVE METHODS; COVARIANCE METHOD; SIGNAL ANALYSIS;

VIBRATIONS (MECHANICAL);

EID: 0030170372     PISSN: 13408062     EISSN: None     Source Type: Journal    
DOI: 10.1299/jsmec1993.39.179     Document Type: Article

References (6)

1. Kesler, S. B., Ed., Modern Spectrum Analysis II, (1986), IEEE Press.
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3. Pandit, S. M. and Wu, S. M., Time Series and Systems with Applications, (1990), Krieger.
4. Pandit, S. M., Modal and Spectrum Analysis : Data Dependent Systems in State Space, (1991), Wiley-Interscience.
5. Kay, S. M., Modern Spectral Estimation : Theory and Application, (1988), Prentice-Hall.
6. Marple, S. L., Digital Spectral Analysis with Applications, (1987), Prentice-Hall.