The Audio Signal De-Noising Based on the ARIMA Model and Kalman Filter

Peng Ju He; Li Li Qin; Liang Liang Zhang; Qiong Wu

doi:10.4028/www.scientific.net/AMR.472-475.1160

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 472-475The Audio Signal De-Noising Based on the ARIMA...

The Audio Signal De-Noising Based on the ARIMA Model and Kalman Filter

Abstract:

Aiming at the problem of non-stationary noise is difficult to eliminate, the audio signal is analyzed by the means of time series analysis. The auto regressive Integrated Moving Average (ARIMA ) model is established. The recursive extended least squares (RELS ) algorithm is adopted to realize the real-time estimation of parameter. The kalman filter is used for compensating the model error of the audio test system. It is concluded from the simulated results that the proposed methods achieve better smoothing effects and more effective inhibitions of the audio signal random noise, and improve the signal-to-noise ratio of the audio signal.

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Advanced Manufacturing Technology, ICMSE 2012

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Periodical:

Advanced Materials Research (Volumes 472-475)

Pages:

1160-1165

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.472-475.1160

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Online since:

February 2012

Authors:

Peng Ju He, Li Li Qin, Liang Liang Zhang, Qiong Wu

Keywords:

Kalman Filter (KF), RELS, The Audio Signal, Time Series Models

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