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说明：  本文件为Matlab环境下，不用小波工具箱编的小波变换源代码。(this document for Matlab environment, not wavelet Toolbox series of the wavelet transform source code.)

说明：   是关于matlab工具箱的应用，对于初学者和老辈们都有帮助的(is on the application of Matlab Toolbox for beginners and elders have made to help the)

mimo2乘2矩阵的仿真与应用，内有源码与注释源码，方便阅读理解(mimo2 by 2 matrix of simulation and application source code and comments within the source code to facilitate reading comprehension)

Kalman filter implementation

1、不同阶次模拟巴特沃兹滤波器的频率响应 2、根据模拟滤波器指标，设计低通巴特沃兹滤波器 要求通带截止频率 fp = 5kHz, 通带最大衰减 ɑp =2dB， 阻带截止频率 fs= 12kHz, 阻 带最小衰减ɑs =30dB,按照上述指标设计巴特沃兹低通滤波器。 3、给定模拟滤波器，按照不同采样频率设计数字 IIR，观察采样频率对设计结果的影响 已知模拟滤波器传输函数 H(s)为 2 0.5012 ( ) 0.6449 0.7079 H s s s = + + 按照不同采样频率 Fs1=1Hz, Fs2=10Hz 使用脉冲响应不变法将 H(s)转换为 H(z)数字 IIR 滤波器。观察不同采样频率设计得到的数字 IIR 的差异。 4、给定数字 IIR 指标，用脉冲响应不变法设计 IIR。 数字低通滤波器的指标为: 0.2 , 1 , 0.3 , 15 p p s s ω π α ω π α = = = = dB dB ,使用巴特沃 兹滤波器设计数字 IIR。比较采样频率 Fs=1， 2 时设计过程中的模拟滤波器，数字滤波 器的变化。 5、用双线性变换法设计 IIR，并同脉冲响应不变法比较设计的结果。数字滤波器指标要 求如下 0.2 , 1 , 0.3 , 15 p p s s ω π α ω π α = = = = dB dB(1.Grasp the impulse response method and bilinear transformation design IIR filter principle and specific design methods, familiar with double A computer program for designing lowpass, bandpass and highpass IIR digital filters by linear design; 2 . familiar with the design of analog Butterworth filter, master impulse response method and bilinear transformation method to design digital IIR Filter method)

MIMO Capacity and channel measurment

自适应滤波原理（国外教材）计算机作业的MATLAB程序，调试通过，有一定的参考价值。(Principles of Adaptive Filtering (foreign materials) MATLAB computer operating procedures, testing is passed, there is a certain reference value.)

Matlab toolbox for least squares support vector machines.

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)

README dllset是一个很容易确实的系统文件他的作用是更好的利用互联网来检索更多资源并优化(README dllset is an easy to do system files his role is to retrieve more resources and optimize the use of the Internet to better)