Original scientific paper

https://doi.org/10.7305/automatika.2014.06.319

The New Normalized Subband Adaptive Filter Algorithms with Variable Step-Size

Mohammad Shams Esfand Abadi ; Faculty of Electrical and Computer Engineering, Shahid Rajaee Teacher Training University, P.O.Box: 16785-163, Tehran, Iran
Mohammad Saeed Shafiee ; Faculty of Electrical and Computer Engineering, Shahid Rajaee Teacher Training University, P.O.Box: 16785-163, Tehran, Iran

Abstract

This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm. In the proposed VSS-NSAF, the step-size changes in order to have largest decrease in themean square deviation (MSD) for sequential iterations. To reduce the computational complexity of VSS-NSAF, the variable step-size selective partial update normalized subband adaptive filter (VSS-SPU-NSAF) is proposed. In this algorithm the filter coefficients are partially updated in each subband at every iteration. Simulation results show the good performance of the proposed algorithms in convergence speed and steady-state MSD.

Keywords

Adaptive filter; Variable step-size (VSS); Selective partial update (SPU); Subband adaptive filter (SAF)

Hrčak ID:

126102

URI

https://hrcak.srce.hr/126102

Publication date:

16.7.2014.

Article data in other languages: croatian

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