A New Wavelet Transform Modulus Maximum Denoising Algorithm for UWB System

Chang Qing Bai; Yuan Yuan Peng; Qing Yan Zhang

doi:10.4028/www.scientific.net/AMR.443-444.542

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 443-444A New Wavelet Transform Modulus Maximum Denoising...

A New Wavelet Transform Modulus Maximum Denoising Algorithm for UWB System

Abstract:

The wavelet transform of pulse signal and noise have different properties, thus an improved wavelet transform modulus maximum algorithm was introduced to remove the noise in UWB system. Improvements include: a) a new adaptive threshold algorithm is used to process the wavelet transform modulus maxima on the largest scale level; b) getting modulus maxima on the first level through nonlinear least-square method. At last, Mallat alterative projection algorithm was adopted to reconstruct the signal. Simulation results show that the denoising effect of the novel method is far better than the traditional one, and it can locate the position of the narrowband pulse more accurately.

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Periodical:

Advanced Materials Research (Volumes 443-444)

Pages:

542-547

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.443-444.542

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Online since:

January 2012

Authors:

Chang Qing Bai, Yuan Yuan Peng, Qing Yan Zhang

Keywords:

Adaptive Threshold Algorithm, Modulus Maximum Denoising Method, Nonlinear Least Square Method, TH-PPM-UWB, Wavelet Transform (WT)

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