NDLI: A new denoising method for DS-UWB signal based on wavelet transform modulus maximum

Content Provider	IEEE Xplore Digital Library
Author	Yuanyuan Peng Changqing Bai Qingyan Zhang
Copyright Year	2010
Description	Author affiliation: Wireless Communication Laborary of Information Network Engineering Research Center under MOE Beijing University of Posts and Telecommunications, Beijing, China (Yuanyuan Peng; Changqing Bai; Qingyan Zhang)
Abstract	Narrowband pulse can be seen as singularity when it is adopted to transmit Direct Sequence Ultra-Wide Band (DS-UWB) signals. The remarkable property of wavelet transform is that it has ability to characterize the singularities of signals. In the UWB system there are different propagation characteristics for the modulus maxima of signal and noise with the increasing decomposition scales, theoretical and experimental results show that wavelet-transform modulus-maximum method can reserve signal singularity and remove the noise effectively. Therefore, wavelet-transform modulus-maxima method is used to extract useful information from DS-UWB signal in low SNR. A new algorithm is proposed in this paper by combining wavelet-transform modulus maximal denoising method with adaptive threshold algorithm. The simulation results show that the new method is efficient in restraining noise and reconstructing the signal.
Starting Page	614
Ending Page	618
File Size	569024
Page Count	5
File Format	PDF
ISBN	9781424468515
e-ISBN	9781424468539
DOI	10.1109/ICNIDC.2010.5657856
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Modulus-maximum denoising method DS-UWB Adaptive threshold Noise reduction Wavelet-transform Discrete wavelet transforms Mathematical model Lipschitz exponent Signal to noise ratio
Content Type	Text
Resource Type	Article

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