机构

• 长春光学精密机械与物... [2]
• 自动化研究所 [1]

采集方式

• OAI收割 [3]

内容类型

• 会议论文 [2]
• 期刊论文 [1]

发表日期

• 2023 [1]
• 2009 [2]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Improved Capon Estimator for High-Resolution DOA Estimation and Its Statistical Analysis 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1716-1729 作者:  Weiliang Zuo;  Jingmin Xin;  Changnong Liu;  Nanning Zheng;  Akira Sano   |  收藏  |  浏览/下载：19/0  |  提交时间：2023/07/20 Capon beamformer  direction-of-arrival (DOA) estimation  large-sample mean-squared-error (MSE)  subspace-based methods  uniform linear array   Blind channel estimation of MIMO-OFDM based on FDPM (EI CONFERENCE) 会议论文  OAI收割 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009, September 24, 2009 - September 26, 2009, Beijing, China Gang W.; Ming Z.; Hua C. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 Subspace based methods have been widely discussed in multichannel estimation including MIMO-OFDM system. However  direct subspace methods suffer from heavy computation complexity y of O(N3). In this paper  a new subspace tracking technique called Fast Data Projection Method (FDPM) is proposed for adaptively tracking the noise subspace. The new algorithm has low complexity of O(NL) and is the only numerically stable  low complexity algorithm for tracking subspaces corresponding to the smallest singular values. Simulation results show that the proposed scheme has similar performance to the original. 2009 IEEE.   Infrared face recognition using linear subspace analysis (EI CONFERENCE) 会议论文  OAI收割 MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009, Yichang, China 作者:  Wang D. 收藏  |  浏览/下载：35/0  |  提交时间：2013/03/25 Infrared image offers the main advantage over visible image of being invariant to illumination changes for face recognition. In this paper  based on the introduction of main methods of linear subspace analysis  such as Principal Component Analysis (PCA)  Linear Discriminant Analysis(LDA) and Fast Independent Component Analysis (FastICA)  the application of these methods to the recognition of infrared face images offered by OTCBVS workshop are investigated  and the advantages and disadvantages are compared. Experimental results show that the combination approach of PCA and LDA leads to better classification performance than single PCA approach or LDA approach  while the FastICA approach leads to the best classification performance with the improvement of nearly 5% compared with the combination approach. 2009 Copyright SPIE - The International Society for Optical Engineering.