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An Adaptive Notch Filter For Noise Reduction and Signal Decomposition.

Author(s): Vikas S. Mane | Amrita A. Agashe

Journal: International Journal of Computer Science Issues
ISSN 1694-0784

Volume: 8;
Issue: 5;
Start page: 360;
Date: 2011;
Original page

Keywords: Adaptive notch filter | signal decomposition | estimation of fundamental frequency | steady state performance. | IJCSI

Detection, estimation and filtering of desired signal in the presence of noise are some of the most common and practical problems in the analysis of time series. The analysis in the time domain often involves the comparison of two different signals and stochastic signals are usually more profitably analyzed in the time domain. Extraction of signal are considerably improves quality of signal. In many signal processing applications is to decompose an original signal into its primitive or fundamental constituents and to perform simple operations separately on each component, thereby accomplishing extremely sophisticated operations by a combination of individually simple operations. An adaptive notch filter is able extract the desired signal from noisy signal. In this paper proposed filter is parallely connected adaptive notch filter which is able to extract the fundamental frequency from the noise corrupted signal and each filter able decompose 'n' sinusoid which is harmonically related to its constituent component.
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