Reactive-power-compensation

Adaptive Continuous-Time Linear Quadratic Gaussian Control

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直接序列扩频系统抗单音干扰的性能分析（升余弦滚降成型）(Direct sequence spread spectrum simulation )

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DSL上行传输过程中，用户减少后重新估计信道的算法。(DSL upstream, the user re-estimate the channel reduction algorithm)

说明：  数学实验matlab的好程序，给matlab的初学者(Good mathematical experiment matlab program to matlab for beginners)

应用LQG算法对一个一通进行镇定控制，希望对大家有用(The LQG algorithm is applied to a conducting stabilization control, in the hope that useful)

The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)

基于图像内容的检索，文献及其相关代码，2012年的会议CVPR(Image content-based retrieval, literature, and their associated code, 2012 meeting CVPR)

Abstract—In this article we provide a thorough stability analysis of two well known adaptive algorithms for equalization based on a novel least squares reference model that allows to treat the equalizer problem equivalently as system identification problem.