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Subspace tracking based blind multiuser detection: a maximum likelihood estimation approach

机译：基于子空间跟踪的盲多用户检测：最大似然估计方法

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《World computer congress》|2000年||共6页
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Wang Neng; Zhu Weiping; Institute of Electric and Electronic Engineer;
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1. Blind adaptive multiuser detection in multipath CDMA channels based on subspace tracking [J] . Wang X., Poor H.V. IEEE Transactions on Signal Processing . 1998,第11期

机译：基于子空间跟踪的多径CDMA信道盲自适应多用户检测
2. Probability of detection and clutter rate estimation in target tracking systems: generalised maximum likelihood approach [J] . Al-Hasaeri Asem, Marjanovic Aleksandra, Tadic Predrag, Radar, Sonar & Navigation, IET . 2019,第11期

机译：目标跟踪系统中检测和杂波速率估计的概率：广义最大似然法
3. A Novel Subspace Tracking Algorithm and Its Application to Blind Multiuser Detection in Cellular CDMA Systems [J] . Imran Ali, Doug Nyun Kim, Yun-Jeong Song, Journal of communications and networks . 2010,第3期

机译：一种新的子空间跟踪算法及其在蜂窝CDMA系统盲多用户检测中的应用
4. Subspace Tracking Based Blind Multiuser Detection: A Maximum Likelihood Estimation Approach [C] . Wang Neng, Zhu Weiping, Zheng Baoyu World computer congress;WCC2000;International conference on communication technology;ICCT2000 . 2000

机译：基于子空间跟踪的盲多用户检测：最大似然估计方法
5. Subspace-Based Blind Channel Estimation and Tracking for MIMO-OFDM Systems. [D] . Tu, Chao-Cheng. 2010

机译：MIMO-OFDM系统中基于子空间的盲信道估计和跟踪。
6. Blind Source Separation Method Based on Neural Network with Bias Term and Maximum Likelihood Estimation Criterion [O] . Sheng Liu, Bangmin Wang, Lanyong Zhang 2021

机译：基于偏置术语的神经网络的盲源分离方法和最大似然估计标准
7. A robust subspace tracking algorithm for subspace-based blind multiuser detection in impulsive noise [O] . Chan SC, Ho KL, Wen Y 2002

机译：一种基于子空间的脉冲噪声盲多用户检测子空间跟踪算法
8. The Extended-Image Tracking Technique Based on the Maximum Likelihood Estimation [R] . Tsou, Haiping, Yan, Tsun-Yee 2000

机译：基于极大似然估计的扩展图像跟踪技术

Subspace tracking based blind multiuser detection: a maximum likelihood estimation approach

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