Title :
A multiscale method for 1/f noise modeling: application to linear prediction
Author :
Soltani, S. ; Simard, P. ; Boichu, D.
Author_Institution :
Univ. de Technol. de Compiegne, France
Abstract :
This paper outlines a computational method for constructing a one step ahead prediction for 1/f noise. A multiscale modeling was developed to provide a multiscale filtering algorithm which proved to be efficient. This method was applied to an ultralow temperature noise measurement problem
Keywords :
1/f noise; Haar transforms; autoregressive moving average processes; filtering theory; frequency response; modelling; noise measurement; prediction theory; time series; 1/f noise modeling; a computational method; fARIMA process; fractional integration parameter; frequency response; linear prediction; multiresolution filtering; multiscale filtering algorithm; multiscale method; multiscale modeling; one step ahead prediction; padded Haar filters; time series; ultralow temperature noise measurement problem; 1f noise; Filtering; Filters; Frequency measurement; Noise measurement; Pollution measurement; Predictive models; Probes; Signal resolution; Temperature measurement;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
Print_ISBN :
0-7803-5276-9
DOI :
10.1109/IMTC.1999.777017
