controlpidbybp

把yuv格式的专为为avi 把avi格式的转化为yuv(yuv to .avi .avi to yuv)

可以实现FFT变化的时域图分析，可以清楚的知晓信号随时间的规律变化(Changes can achieve FFT time domain analysis, the signal can be clearly aware of the law change with time)

Sullivan关于FTDT经典文章的MATLAB翻译，第四章第一个例子的源程序。(Sullivan article on FTDT classic MATLAB translation of chapter IV, an example of the source.)

AWGN信道设计与仿真熟悉加性高斯白噪声(AWGN)信道，学习Matlab相关编程知识及AWGN信道的设计与仿真实现。(AWGN channel)

By the harmonic elimination technique,we can solve for the switching angles of a half bridge to cancel the 5th, 7th, 11th and 13th harmonics by the Newton Raphson iteration technique.

2Dimension of SLAM asks the following question: “Is it possible for an autonomous vehicle to start in an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute vehicle location ?

系统辨识作业，仿真比较OE模型 ARMAX模型 和ARX模型的便是效果，内涵ppt。(System identification operation, the simulation model compared OE and ARX model ARMAX model is the effect, meaning ppt.)

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)

基于MATLAB的信号均衡器与分离器的程序(MATLAB signal equalizer separator-based programs)

主动轮廓模型CV算法，实现核磁共振脑实质分割(active contour CV Algorithm)