ZhangYan
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.
- 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.Google Scholar
Cross Ref
- Goldstein R M, Zebker H A and Werner C L. "Satellite radar interferometry: two dimensional phase unwrapping," Radio Science, 1988, 23(4): 713--720.Google ScholarCross Ref
- 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--558Google Scholar
- 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.Google ScholarCross Ref
- 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.Google ScholarCross Ref
- 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 Google ScholarDigital Library
- 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 Google ScholarDigital Library
- 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--5661Google ScholarCross Ref
- 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 Google ScholarDigital Library
- 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--1465Google ScholarCross Ref
- J.H. Husqy, M.S.E. Abadi, "Unified approach to adaptive filters and their performance," IET Signal Process, 2008, 2(2):97--109Google ScholarCross Ref
- 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 Google ScholarDigital Library
Index Terms
- Application of TLMS Deep Learning Algorithm in Artificial Intelligence Field
Recommendations
A Hybrid Gomoku Deep Learning Artificial Intelligence
AICCC '18: Proceedings of the 2018 Artificial Intelligence and Cloud Computing ConferenceGomoku is an ancient board game. The traditional approach to solving the Gomoku is to apply tree search on a Gomoku game tree. Although the rules of Gomoku are straightforward, the game tree complexity is enormous. Unlike other board games such as chess ...
Phase unwrapping via deep learning for surface shape measurement by using wavelength tuning interferometry
EBIMCS '23: Proceedings of the 2023 6th International Conference on E-Business, Information Management and Computer ScienceWavelength tuning interferometry is widely used in optical metrology in order to obtain the phase information of sample. The obtained wrapped phase usually unwraps in the range of [-π, π]. Therefore, phase unwrapping operation is required in order to ...
Speech Recognition Method Based on Deep Learning of Artificial Intelligence: An example of BLSTM-CTC model
SSPS '23: Proceedings of the 2023 5th International Symposium on Signal Processing SystemsUnder the influence of information, network and intelligent high-speed development situation, China's intelligent technology and other aspects have made great progress and achievements, derived a lot of advanced artificial intelligence technology, ...
Comments