DocumentCode :
3378147
Title :
Adaptive discrete cosine transform for noise cancellation of vibrational signals
Author :
Coutu, Gerard ; Farb, Norman
Author_Institution :
Strategic Technol., Printronix, Irvine, CA, USA
Volume :
2
fYear :
1997
fDate :
3-6 Aug 1997
Firstpage :
892
Abstract :
In this paper, the vibrational signal from a resistive strain gage is input into an adaptive cancelling system that uses a discrete cosine transform filter. The discrete cosine transform filter is a realization of a FIR filter as the cascade of an all-zero FIR filter with a bank of IIR digital resonators. Each bank has a single magnitude and a single phase. In the adaptive realization, the actual magnitude and phase are the parameters that are adapted with the LMS algorithm. Thus, in addition to cancelling the noise, the adaptive coefficients give an indication of the magnitude and phase at a full range of frequencies
Keywords :
FIR filters; adaptive signal processing; discrete cosine transforms; interference suppression; least mean squares methods; strain gauges; IIR digital resonators; LMS algorithm; adaptive cancelling system; adaptive coefficients; adaptive discrete cosine transform; all-zero FIR filter; noise cancellation; resistive strain gage; vibrational signals; Adaptive filters; Adaptive systems; Capacitive sensors; Digital filters; Discrete cosine transforms; Finite impulse response filter; IIR filters; Least squares approximation; Noise cancellation; Resonator filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-7803-3694-1
Type :
conf
DOI :
10.1109/MWSCAS.1997.662218
Filename :
662218
Link To Document :
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