strcov

m qam ary for mimo channel m qam m qam

简单演示了VC-Matlab混合编程的一种方法。(Simple demonstration of the VC-Matlab mixed programming methods.)

vc与matlab联合编程实现圆环渐变功能(vc joint programming and implementation matlab functions Gradient Circle)

学习期间，跟着导师做的一个project，主要讲的是语音信号处理在双耳助听器中的应用。(During the study, along with instructors to do a project, mainly about the voice signal processing in binaural hearing aids in the application.)

OFDM的在瑞利信道下的与单载波信号的识别算法，本人原创(OFDM in Rayleigh channel with single-carrier signal of the recognition algorithm, I am original)

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)

MPC using steady state reject disturbance

matlab编程，实现曲线色彩的修改 (Matlab programming, achieve a modification of the curve color)

异步电机转子磁场定向控制仿真模型，通过验证，好用!(FOC induction motor simulation models, easy to use!)

A fuzzy set is a set without any crisp, clearly defined boundaries. It can contain elements with only a partial degree of membership. Classical sets either wholly include given element or wholly discludes elements. E.g., set of days of the week. While example of a fuzzy set would be set of days that make up weekend.