Time series prediction of acoustic signals using neural network model and wavelet shrinkage

Proceedings of the Tenth International Congress on Sound and Vibration

Volumn , Issue , 2003, Pages 4189-4196

  Mitani, Yasuo ^a   Tsutsumoto, Kazuhiro ^a   Kagawa, Naoki ^a  

^a FUKUYAMA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOREGRESSIVE (AR) MODELS; PREPROCESSING FILTERS; ROAD TRAFFIC NOISE; WAVELET SHRINKAGE;

FUNCTIONS; GAUSSIAN NOISE (ELECTRONIC); MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; NONLINEAR EQUATIONS; REGRESSION ANALYSIS; TIME SERIES ANALYSIS; WAVE FILTERS; WHITE NOISE;

ACOUSTIC SIGNAL PROCESSING;

EID: 2342433832     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. G. Box and F. Jenkins, Time Series Analysis: Forecasting and Control, Holder-Day, 1976.
2. C. Catfield, The Analysis of Time Series, Chapman & Hall, 1989.
3. D. Pham and X. Liu, Neural Networks for Identification, Prediction and Control, Springer, 1995.
4. N. Gershenfeld and A. Wegend, The Future of Time-series, in Time Series Prediction: Forecasting the Future and Understanding the Past, Addison-Wesley, 1994.
5. D. Donoho and I. Johnstone, "Ideal spatial adaptation via wavelet shrinkage," Biometrika, Vol.81, pp.425-455, 1994.
6. H. Akaike, "A new look at the statistical model identification, " IEEE Trans. Auto. Cont., Vol.AC-19, pp.716-723, 1974
7. D. Rumelhart, J. McClelland, and the PDP Research Group, Parallel Distributed Processing, Vol.1, MIT Press, 1986.
8. A. Cohen, I. Daubechies, B. Jawerth and P. Vial, "Multiresolution analysis, wavelet, and fast algorithms on an interval," Compt. Rend. Acad. Sci. Paris (A), Vol.316, pp.49-68, 1989.