Recursive non parametric spectral estimation from irregularly sampled observations

International Conference on Digital Signal Processing, DSP

Volumn 2, Issue , 2002, Pages 799-802

  Rivoira, A ^a   Fleury, G ^a  

^a SUPELEC   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL SIGNAL PROCESSING; ECONOMIC AND SOCIAL EFFECTS; SPECTRUM ANALYSIS;

CONVERGENCE RATES; MEAN SQUARE ESTIMATION; NON-PARAMETRIC; RECURSIVE ALGORITHMS; SAMPLED OBSERVATIONS; SIGNAL VALUE; SPECTRAL ESTIMATION; STATISTICAL PROPERTIES;

SIGNAL PROCESSING;

EID: 84948679042     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSP.2002.1028211     Document Type: Conference Paper

References (6)

1. M. Gaster and J. B. Robert. "Spectral analysis of randomly sampled signals", J. Inst. Maths Applies, vol. 15, pp. 195- 216, 1975.
2. R. H. Jones, "Fitting a continuous time autoregression to discrete data", Applied Time Analysis II Ed. Acadamic. Press, New York, pp. 651-682, 1981.
3. L. Nita and J. Oksman, "Fast generation of synthetic nonuni- formly sampled signals: from quantized ton continuous sampling intervals", 13th International Conference on Digital Signal Processing '97 IEEE NY, USA, vol. 2, pp. 1059-1062, 1997.
4. A. Rivoira, Y. Moudden, G. Fleury, "Real time continuous AR parameter estimation from randomly sampled observations", IEEE International Conference on Acoustics Speech and Signal Processing, to be published 2002.
5. L. S. Shapiro and R. A. Silverman, "Alias-free sampling of random noise". J. Soc. Indust. Appl Math, vol. 8, pp. 225- 248, 1960.
6. T. Soderstrtfm, "Computing stochastic continuous-time models from ARMA models". Int. J. Control. vol. 53. pp. 1311- 1326, 1991.