LVD-based 3-D Rotational Vector Estimation of Non-cooperative Targets for InISAR System

2021 ◽  
Author(s):  
Rui Gong ◽  
Ling Wang ◽  
Daiyin Zhu
Keyword(s):  
Vector Estimation ◽  
Rotational Vector

Fast motion vector estimation by using spatiotemporal correlation of motion field

1995 ◽  
Author(s):  
Sungook Kim ◽  
Junavit Chalidabhongse ◽  
C.-C. Jay Kuo
Keyword(s):  
Motion Vector ◽  
Motion Field ◽  
Spatiotemporal Correlation ◽  
Fast Motion ◽  
Vector Estimation

Joint Dimension Assignment and Compression for Deterministic Parameter Vector Estimation in Distributed Multisensor Networks

2021 ◽  
pp. 1-1
Author(s):  
Linxia Zhang ◽  
Dunbiao Niu ◽  
Ting Ma ◽  
Enbin Song ◽  
Zhi Li ◽  
...  
Keyword(s):  
Parameter Vector ◽  
Vector Estimation

A method for improving the precision of motion vector estimation based on gyroscope

2006 ◽  
Author(s):  
Yongxiang Zhang ◽  
Hui Sun ◽  
Jingwu Xiong
Keyword(s):  
Motion Vector ◽  
Vector Estimation

Optimal state-vector estimation for non-Gaussian initial state-vector

1971 ◽  
Vol 16 (2) ◽  
pp. 197-198 ◽  
Author(s):  
D. Lainiotis ◽  
S. Park ◽  
R. Krishnaiah
Keyword(s):  
State Vector ◽  
Initial State ◽  
Initial State Vector ◽  
Optimal State ◽  
Vector Estimation ◽  
Non Gaussian

scholarly journals A robust generalized sidelobe canceller via steering vector estimation

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Xu Wang ◽  
Julan Xie ◽  
Zishu He ◽  
Huiyong Li
Keyword(s):  
Generalized Sidelobe Canceller ◽  
Steering Vector ◽  
Steering Vector Estimation ◽  
Vector Estimation ◽  
Sidelobe Canceller

An Improved Error Concealment Based on Redundant Motion Vector Information

2012 ◽  
Vol 532-533 ◽  
pp. 1219-1224
Author(s):  
Hong Tao Deng
Keyword(s):  
Video Transmission ◽  
Error Concealment ◽  
Video Quality ◽  
Motion Vector ◽  
Compressed Video ◽  
Vector Information ◽  
Vector Estimation ◽  
Channel Errors ◽  
Bit Stream

During video transmission over error prone network, compressed video bit-stream is sensitive to channel errors that may degrade the decoded pictures severely. In order to solve this problem, error concealment technique is a useful post-processing tool for recovering the lost information. In these methods, how to estimate the lost motion vector correctly is important for the quality of decoded picture. In order to recover the lost motion vector, an Decoder Motion Vector Estimation (DMVE) criterion was proposed and have well effect for recover the lost blocks. In this paper, we propose an improved error concealment method based on DMVE, which exploits the accurate motion vector by using redundant motion vector information. The experimental results with an H.264 codec show that our method improves both subjective and objective decoder reconstructed video quality, especially for sequences of drastic motion.

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