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title

A New Variable Step-Size Normalized Subband Adaptive Filter Algorithm Employing Dynamic Selection of Subband Filters

Credit to Download: 1 | Page Numbers 5 | Abstract Views: 1006
Year: 2013
COI code: ICEE21_494
Paper Language: English

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Authors A New Variable Step-Size Normalized Subband Adaptive Filter Algorithm Employing Dynamic Selection of Subband Filters

  Mohammad Shams Esfand Abadi - Faculty of Electrical and Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran
Mohammad Saeed Shafiee -

Abstract:

This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm with dynamic selection (DS) of subband filters. The selection strategy isperformed to achieve the largest decrease between the successive mean square deviations at every iteration. The proposed VSSDS-NSAF has fast convergence speed and low steady-state mean square error (MSE). Also due to DS feature, the VSS-DSNSAFhas lower computational complexity than VSS-NSAF. Wedemonstrate the good performance of the proposed algorithm through several simulations in system identification scenario

Keywords:

Adaptive filter, variable step-size (VSS), dynamic selection (DS), normalized subband adaptive filter (NSAF)

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COI code: ICEE21_494

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Esfand Abadi, Mohammad Shams & Mohammad Saeed Shafiee, 2013, A New Variable Step-Size Normalized Subband Adaptive Filter Algorithm Employing Dynamic Selection of Subband Filters, 21th Iranian Conference on Electric Engineering, مشهد, دانشگاه فردوسي مشهد, https://www.civilica.com/Paper-ICEE21-ICEE21_494.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: (Esfand Abadi, Mohammad Shams & Mohammad Saeed Shafiee, 2013)
Second and more: (Esfand Abadi & Shafiee, 2013)
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