Search

Your search keyword '"Zhang, Rongzhu"' showing total 263 results
Start Over Author "Zhang, Rongzhu"
263 results on '"Zhang, Rongzhu"'

3. Diffusion multi-rate LMS algorithm for acoustic sensor networks

Author

Lu, Lu, Yang, Xiaomin, and Zhang, Rongzhu

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

In this paper, we present a diffusion multi-rate least-mean-square (LMS) algorithm, named DMLMS, which is an effective solution for distributed estimation when two or more observation sequences are available with different sampling rates. Then, we focus on a more practical application in the wireless acoustic sensor networks (ASN). The filtered-x LMS (FxLMS) algorithm is extended to the distributed multi-rate system and it introduces collaboration between nodes following a diffusion strategy. Simulation results show that the effectiveness of the proposed algorithms.

Published
2018

12. Fast and high precision phase recovery technology of single-shot ineterferogram based on depth convolution neural network.

Author

Kuang, Yu, Li, Jiawen, Liu, Fengwei, Wu, Yongqian, and Zhang, Rongzhu

Subjects
CONVOLUTIONAL neural networks, SUPERVISED learning, ROOT-mean-squares
Abstract

Phase retrieval from single interferogram is of great interest for the possibility of dynamic phase measurement. However, it is a very complicated process in reality since the unknowns and knows are highly unequal. In this paper, we propose a fast phase recovery method from single interferogram based on deep convolution neural network. The network is trained based on supervised learning to achieve the purpose of quickly obtaining unwrapped phase results from a single interferogram. To improve the detection accuracy, a modified set establishment model has been propose to improve the practicability of the fringe data. The simulation and experimental results show that the root mean square value of residual phase extraction error by this method is closed to 0.01 λ (λ = 632.8 nm), and the constructed depth convolution neural network model has significant flexibility and effective generalization ability for phase recovery of single frame interference fringe. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

49. Continuous phase plate for laser beam smoothing

Author

Yang, Chunlin, Zhang, Rongzhu, Xu, Qiao, and Ma, Ping

Subjects
Laser beams -- Control, Laser beams -- Properties, Aberration -- Research, Astronomy, Physics
Abstract

We discuss the beam smoothing principle of a continuous phase plate (CPP) while the input light is varying. The analysis model of the process in which the laser beam with random phase noise propagates through a CPP has been established. With this model the beam smoothing mechanism of the CPP for the laser beam with a different phase aberrations can be described. A method to optimize the smoothing result is introduced. OCIS codes: 030.6600, 350.5030, 140.3300.

Published
2008

Catalog

Books, media, physical & digital resources
See catalog results