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说明：  MATLAB 小程序，可以实现模式识别中的K近邻算法，已经运行成功，附运行程序结果(MATLAB small programs can be achieved in the K-nearest neighbor pattern recognition, has been running successfully run the program attached to the results of)

在Visual+C中调用Matlab的其他方法.pdf(In the Visual+ C to call the other methods Matlab. Pdf)

mimo-ofdm系统中不同天线配置下的信道遍历容量(mimo-ofdm system under different antenna configurations channel ergodic capacity)

这个主要是一些图像配准的实例，为后续的图像融合做准备。(This is mainly because some instances of image registration to prepare for the subsequent image fusion.)

this is a presentation that explains matlab in detail.useful for engineers

分布式MIMO雷达的文献，有需要的，可以共享下(A closed-form expression for false alarm rate o fadaptive MIMO-GLRT detector with distributed MIMO radar)

本源码用于LDPC的编码算法。运用LDPC编码的基本原理，基于Matlab仿真实现。(The source code for LDPC coding algorithm. The use of LDPC coding the basic principles, based on the Matlab simulation.)

Buck DC DC Converter

张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature Extraction and Applications( Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials, epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and analysis, dimensionality of the data could be augmented due to expression of the data into sparse domain (time-frequency representation) by different transforms such as STFT, wavelets. That means data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze such data by considering them as vectors or matrices might be not suitable due to risk of losing the covariance information among various modes. To discover hidden multilinear structures, features within the data, the analysis tools should reflect the multi-dimensional structure of the data)

matalb 雷达定位系统仿真 利用GDOP对性能进行评估 大家一起学习交流(matalb radar positioning system simulation use GDOP uate performance with everyone learning exchange)