Application of TLMS Deep Learning Algorithm in Artificial Intelligence Field

被引：0
|
作者：
ZhangYan [1 ]
ZhangHeng [2 ]
机构：
[1] Northwestern Polytech Univ, Coll Elect & Informat, 127 Youyi West Rd, Xian, Shaanxi, Peoples R China
[2] Xide Elect Technol Ltd Liabil Co, 1123 Hangchuang Rd, Xian, Shaanxi, Peoples R China
来源：
ISBDAI '18: PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON BIG DATA AND ARTIFICIAL INTELLIGENCE | 2018年
关键词：
Artificial intelligence; Deep Learning; InSAR; Phase unwrapping; TLMS(Total Least Mean Square); filter; LEAST-SQUARES ALGORITHM; RADAR INTERFEROMETRY; PHASE;
D O I：
10.1145/3305275.3305284
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：44 / 47
页数：4
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