Skip to main content
SpringerLink
Log in

Implementation of GPR signals de-noising based on DSP

  • Published:
Wuhan University Journal of Natural Sciences

Abstract

An important issue of ground-penetrating radar (GPR) signals analysis is de-noising that is the guarantee of acquiring good detecting effect. The paper illustrates a successful application of digital single processor (DSP) based on wavelet shrinkage algorithm. In order to realize real-time GPR signals analysis, some key issues are discussed such as the realization of fast wavelet transformation, the selection of CPU chip and the optimization of data movement. Experimental results show that the DSP based application not only basically meets the real-time requirement of GPR signals analysis, but also assures the quality of the GPR signals analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Olhoeft G R. Application of Ground Penetrating Radar.Proceedings of the 6 th Int Conf on Ground Penetrating Radar (GPR’96). Sendai, Japan, 1996. 1–3.

  2. Lee J S, Ngugen C, Scullion T. Impulse Ground Penetrating Radar for Nondestructive Evaluation of Pavements.IEEE MTT-S International Microwave Symposium Digest, 2002,2: 1361–1363.

    Google Scholar 

  3. Shapiro J M. Embedded Image Coding Using Zerotrees of Wavelet CoefficientsIEEE Trans Signal Processing, 1993,41(12): 3445–3462.

    Article  MATH  Google Scholar 

  4. Donoho D L. De-Noising by Soft-Thresholding.IEEE Transaction on Information Theory, 1995,41(3): 613–627.

    Article  MATH  MathSciNet  Google Scholar 

  5. Graps A. An Introduction to Wavelets.IEEE Computer Science and Engineering, 1995,2(2): 50–61.

    Article  Google Scholar 

  6. Chan Y T.Wavelet Basics. Norwell, MA: Kluwer Academic Publishers, 1995.

    Google Scholar 

  7. Guo Ji-chang, Liu Yang, Li Xiang-ping,et al. The Realizations of Fast Wavelet Transform Algorithms Based on DSP.Electrical and Computer Engineering, 2003,3: 2005–2008.

    Google Scholar 

  8. Mallat, S.A Wavelet Tour of Signal Processing. (2nd Edition). Beijing: China Machine Press, 2003.

    Google Scholar 

  9. Zhang Jun, Han Pu, Li Rui-xin,et al. TMS320 DSP Based Wavelet Packet Decompose on Vibration Signature Analysis of Turbine.IEEE International Conference on Systems, Man and Cybernetics, 2003,2: 1181–1186.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Electronic Information, Wuhan University, 130072, Wuhan, Hubei, China

    Chen Xiao-li, Tian Mao & Zhou Hui-lin

Authors
  1. Chen Xiao-li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tian Mao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhou Hui-lin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tian Mao.

Additional information

Foundation item: Supported by the National Natural Science Foundation of China (49984001)

Biography: CHEN Xiao-li (1972-), female, Ph.D. candidate, lecture, research direction: signal processing.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xiao-li, C., Mao, T. & Hui-lin, Z. Implementation of GPR signals de-noising based on DSP. Wuhan Univ. J. Nat. Sci. 10, 1005–1008 (2005). https://doi.org/10.1007/BF02832457

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02832457

Key words

CLC number

Search

Navigation