Volume 9, Number 1 (March 2013)                   IJEEE 2013, 9(1): 27-35 | Back to browse issues page


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Shams Esfand Abadi M, Shafiee M. A Family of Variable Step-Size Normalized Subband Adaptive Filter Algorithms Using Statistics of System Impulse Response. IJEEE. 2013; 9 (1) :27-35
URL: http://ijeee.iust.ac.ir/article-1-550-en.html

Abstract:   (2783 Views)
This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm. The proposed algorithm uses the prior knowledge of the system impulse response statistics and the optimal step-size vector is obtained by minimizing the mean-square deviation(MSD). In comparison with NSAF, the VSS-NSAF algorithm has faster convergence speed and lower MSD. To reduce the computational complexity of VSSNSAF, the VSS selective partial update NSAF (VSS-SPU-NSAF) is proposed where the filter coefficients are partially updated in each subband at every iteration. We demonstrated the good performance of the proposed algorithms in convergence speed and steady-state MSD for a system identification set-up.
Full-Text [PDF 414 kb]   (1187 Downloads)    
Type of Study: Research Paper | Subject: Signal Processing
Received: 2013/01/28 | Accepted: 2013/03/18 | Published: 2013/03/18

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