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Author:

Wang, Yang (Wang, Yang.) | Chen, Yanyan (Chen, Yanyan.) (Scholars:陈艳艳)

Indexed by:

EI Scopus

Abstract:

The wavelet de-noising approach is one of the most efficient techniques for noise reduction. Except for the mathematical elegancy in its theoretical aspect, a successful application requires appropriate determination on the decomposition level. This paper proposes a novel approach to selecting an appropriate decomposition level by applying the Gamma test on the noisy data to estimate the noise variance. A number of experiments were carried out on a set of smooth signals corrupted by white Gaussian noise to verify the effectiveness of the proposed approach and a set of traffic flow data was used to demonstrate the application of the proposed approach on the real-world de-nosing task. The experimental results indicate that the proposed approach is effective to determine the decomposition level © (2013) Trans Tech Publications, Switzerland.

Keyword:

Gaussian noise (electronic) White noise Wavelet decomposition

Author Community:

  • [ 1 ] [Wang, Yang]Beijing Key Lab of Traffic Engineering, Beijing University of Technology, No. 100 Pingleyuan Chaoyang District, Beijing, 100124, China
  • [ 2 ] [Chen, Yanyan]Beijing Key Lab of Traffic Engineering, Beijing University of Technology, No. 100 Pingleyuan Chaoyang District, Beijing, 100124, China

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Source :

ISSN: 1022-6680

Year: 2013

Volume: 651

Page: 757-762

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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