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title

Whitening algorithm in order to SNR improvement in Ego-noise removal

Credit to Download: 1 | Page Numbers 6 | Abstract Views: 106
Year: 2019
COI code: ISAV09_007
Paper Language: English

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Authors Whitening algorithm in order to SNR improvement in Ego-noise removal

Ali Gharamohammadi - PhD student, Electrical engineering, Sharif university, Enghelab avenue, Tehran, Iran.
Mohammad Taghi Mehrabani - PhD, Mechanical engineering, Ava Sanjesh Aras, Inc., Enghelab avenue, 1458888481,Tehran, Iran.
Abouzar Abbasi - MsC, Mechanical engineering, Ava Sanjesh Aras, Inc., Enghelab avenue, 1458888481,Tehran, Iran.

Abstract:

In this paper, in order to remove motor harmonics from speech signals, a hybrid algorithm consists of a whitening method and infinite impulse response (IIR) filter is proposed. The combination of these methods results better harmonic suppression than alone filter. In spite of the fact that the output of the whitening is very similar to input, it should make the covariance matrix unit diagonal. The results shows that signal to noise (SNR) is improved by 1.9 dB.

Keywords:

Harmonic suppression; Whitening; IIR adaptive filter.

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COI code: ISAV09_007

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Gharamohammadi, Ali; Mohammad Taghi Mehrabani & Abouzar Abbasi, 2019, Whitening algorithm in order to SNR improvement in Ego-noise removal, 9th International Conference on Acoustic and Vibration, تهران- دانشگاه علم و صنعت ايران, انجمن آكوستيك و ارتعاشات ايران, https://www.civilica.com/Paper-ISAV09-ISAV09_007.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Gharamohammadi, Ali; Mohammad Taghi Mehrabani & Abouzar Abbasi, 2019)
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