skip to main content
10.1145/3305275.3305284acmotherconferencesArticle/Chapter ViewAbstractPublication PagesisbdaiConference Proceedingsconference-collections
short-paper

Application of TLMS Deep Learning Algorithm in Artificial Intelligence Field

Published: 29 December 2018 Publication History

Abstract

Deep learning algorithm has been more and more widely used in the field of artificial intelligence. As an adaptive deep learning algorithm, TLMS(Total Least Mean Square) algorithm used in phase unwrapping is proposed in this paper. The practicability of the algorithm can be proved in theory, and the computational efficiency also can be illustrated by some simulated data. The proposed algorithm is especially appealing to its computational efficiency, and also can improve the SNR of the phase unwrapping system. Because of the effectiveness of TLMS algorithm, it will be applied in data processing field widely.

References

[1]
ROSEN P A, HENSLEY S, JOUGHIN I R, el al. "Synthetic Apeture Radar Interferometry," Proceeding of the IEEE (S0018--9219), 2000, 88(3): 333--382.
[2]
Goldstein R M, Zebker H A and Werner C L. "Satellite radar interferometry: two dimensional phase unwrapping," Radio Science, 1988, 23(4): 713--720.
[3]
ZhangYan, FengDa-zheng, QuXiao-ning, "Application of a novel branch-cut algorithm in phase unwrapping," Journal of Univerisity of Electronic Science and Technology of China, 2013, (4): 555--558
[4]
Fornaro G, Sansosti E A. "two dimensional region growing least squares phase unwrapping algorithm for interferometric SAR," IEEE Trans.on Geoscience and Remote Sensing, 1999, 37(5): 2215--2226.
[5]
M D Pritt, J S Shipman, "Least-Squares Two-Dimensional Phase Unwrapping Using FFT's," IEEE Trans.on Geoscience and Remote Sensing Letters, 1994, 32(3): 706--708.
[6]
Dong-Xia Chang, Da-Zheng Feng, Wei-Xing Zheng, Lei Li, "A Fast Recursive Total Least Squares Algorithm for Adaptive IIR Filtering," IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53(3):957--965
[7]
Da-Zheng Feng, Xian-Da Zhang, Dong-Xia Chang, and Wei Xing Zheng, "A Fast Recursive Total Least Squares Algorithm for Adaptive FIR Filtering," IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2004, 52(10):2729--2737
[8]
Jin-Jung Chyou, Shean-Jen Chen, and Yi-Kuang Chen, "Two-dimensional phase unwrapping with a multichannel least-mean-square algorithm," APPLIED OPTICS, 2004, 43(30):5655--5661
[9]
Jarle Strand, Torfinn Taxt, Anil K. Jain, "Two-Dimensional Phase Unwrapping Using a Block Least-Squares Method," IEEE TRANSACTIONS ON IMAGE PROCESSING, 1999, 8(3):375--386
[10]
Jong-Sen Lee, Konstantinos P. Papathanassiou, Thomas L. Ainsworth, Mitchell R. Grunes, Andreas Reigber, "A New Technique for Noise Filtering of SAR Interferometric Phase Images," IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36(5):1456--1465
[11]
J.H. Husqy, M.S.E. Abadi, "Unified approach to adaptive filters and their performance," IET Signal Process, 2008, 2(2):97--109
[12]
Da-Zheng Feng, Wei-Xing Zheng, "Fast RLS-Type Algorithm for Unbiased Equation-Error Adaptive IIR Filtering Based on Approximate Inverse-Power Iteration," IEEE TRANSACTIONS ON IMAGE PROCESSING, 2005, 53(11):4169--4185

Index Terms

  1. Application of TLMS Deep Learning Algorithm in Artificial Intelligence Field

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ISBDAI '18: Proceedings of the International Symposium on Big Data and Artificial Intelligence
    December 2018
    365 pages
    ISBN:9781450365703
    DOI:10.1145/3305275
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 December 2018

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Artificial intelligence
    2. Deep Learning
    3. InSAR
    4. Phase unwrapping
    5. TLMS(Total Least Mean Square)
    6. filter

    Qualifiers

    • Short-paper
    • Research
    • Refereed limited

    Conference

    ISBDAI '18

    Acceptance Rates

    ISBDAI '18 Paper Acceptance Rate 70 of 340 submissions, 21%;
    Overall Acceptance Rate 70 of 340 submissions, 21%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 66
      Total Downloads
    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 20 Jan 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media