Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 443-444)
Chapter
Chapter 1: Advances in Manufacturing Engineering Techniques and Materials Science
Edited by
Li Jian
Pages
542-547
DOI
10.4028/www.scientific.net/AMR.443-444.542
Citation
C. Q. Bai, Y. Y. Peng, Q. Y. Zhang, "A New Wavelet Transform Modulus Maximum Denoising Algorithm for UWB System", Advanced Materials Research, Vols. 443-444, pp. 542-547, 2012
Online since
January 2012
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Price
$32.00
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