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A Novel Iterative Decoding Method for DFT Codes in Erasure Channels

  • P. Azmi
  • F. Marvasti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3124)

Abstract

One of the categories of decoding techniques for DFT codes in erasure channels is the class of iterative algorithms. Iterative algorithms can be considered as kind of alternating mapping methods using the given information in a repetitive way. In this paper, we propose a new iterative method for decoding DFT codes. It will be shown that the proposed method outperforms the well-known methods such as Wiley/Marvasti, and ADPW methods in the decoding of DFT codes in erasure channels.

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References

  1. 1.
    Marvasti, F.: Nonuniform Sampling Theory and Practice. Kluwer Academic/Plenum Publishers, New-York (2001)zbMATHGoogle Scholar
  2. 2.
    Marvasti, F., Nafie, M.: Using FFT for Error Correction Decoders. In: Proc. IEE colloquium on DSP Applications on Communication systems, pp. 9/1–9/4 (1993)Google Scholar
  3. 3.
    Rath, G., Guillemot, C.: Performance Analysis and Recursive Syndrome Decoding of DFT codes for Bursty Erasure Recovery. IEEE Trans. on Signal Processing 51(5), 1335–1350 (2003)CrossRefMathSciNetGoogle Scholar
  4. 4.
    Marvasti, F., Hassan, M., Echhart, M., Talebi, S.: Efficient Algorithms for Burst Error Recovery Using FFT and Other Transform Kernels. IEEE Trans. on Signal Processing 47(4), 1065–1075 (1999)zbMATHCrossRefGoogle Scholar
  5. 5.
    Ferreira, P.j.S.G., Vieira, J.M.N.: Locating and Correcting Errors in Images. In: Proc. IEEE Conf on Image Processing, ICIP 1997, October 1997, pp. 691–694 (1997)Google Scholar
  6. 6.
    Marvasti, Analoui, M., Gamshadzahi, M.: Recovery of Signals from Non-uniform Samples Using Iterative Methods. IEEE Trans on Signal Processing 39(4), 872–878 (1991)CrossRefGoogle Scholar
  7. 7.
    Sauer, S.A., Allbach, J.P.: Iterative Reconstruction of Band-Limited Images from Non-uniformly Spaced Samples. IEEE Trans. on Circuit and Systems 34(12) (December 1987)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • P. Azmi
    • 1
    • 3
  • F. Marvasti
    • 2
    • 3
  1. 1.Electrical Engineering DepartmentTarbiat Modarres UniversityTehranIran
  2. 2.Electrical Engineering DepartmentSharif University of TechnologyTehranIran
  3. 3.Signal Processing and Multimedia Research LabIran Telecom Research Centre (ITRC)TehranIran

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