Enhanced Pre-Whitening TDLMS Adaptive Noise Canceller

Simple item page
dc.contributor.authorCHERGUI Laid
dc.contributor.authorBOUGUEZEL Saad
dc.date.accessioned2024-02-14T18:09:07Z
dc.date.available2024-02-14T18:09:07Z
dc.date.issued2018-12-12
dc.description.abstractIn this paper, we propose a new algorithm for adaptive noise cancellation. The main idea behind the proposed algorithm is to introduce a first-order adaptive decorrelation filter to decorrelate the error signal in the existing pre-whitening transform domain least mean square (PW-TDLMS) algorithm. The obtained decorrelated error signal is then used in the adaptation equation of the PW-TDLMS algorithm. The proposed adaptive noise canceller is applied to speech denoising and the obtained results are compared to those of the PW-TDLMS and discrete cosine transform-based algorithms. The comparison is performed in terms of the computational complexity, mean square error (MSE) convergence speed, reached steady state level, steady state excess MSE, misadjustment and output signal to noise ratio
dc.identifier.citationLaid CHERGUI, Saad BOUGUEZEL, Enhanced Pre-Whitening TDLMS Adaptive Noise Canceller, ICTAEE'18 SKIKDA ALGERIA, 2018.
dc.identifier.urihttp://dspace.univ-khenchela.dz:4000/handle/123456789/988
dc.language.isoen
dc.publisherInternational Conference on Technological Advances in Electrical Engineering (ICTAEE 2018)
dc.titleEnhanced Pre-Whitening TDLMS Adaptive Noise Canceller
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ICTAEE 18_01.pdf
Size:
348.13 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
scientific publication