Programa_Ondas

Digital logic, basic combinational logic:adder, subtractor,multiplication and division(restoring, non restoring)

lecencia gnu gl sistema erp para compañ ias de regimen simplificado colombianizado

述是经典MUSIC算法的基本原理，许多限制是可以放宽或取消的。首先，关于均匀线阵的限制不是必须的，实际中可采用几乎是任意形状的阵列形式，只要满足在个独立信号源的条件下，矩阵具有个线性无关的列就可以了。其次，天线阵元在观测平面内无方向性这一点也不是必要的，而且还可以考虑三维空间的DOA估计问题，即不仅估计信号的方位角，还要估计它的俯仰角，当然MUSIC算法还用于频率、方位和俯仰的联合估计。(Above is the basic principle of the classical MUSIC algorithm, a number of restrictions can be relaxed or canceled. First, restrictions on ULA is not necessary, the actual form of an array can be almost any shape, as long as the signal source in the independent condition matrix has linearly independent columns on it. Second, the antenna elements in a plane non-directional observation it is not necessary, but could also be considered DOA estimation of three-dimensional space, that is not only estimated azimuth signals, but also to estimate its pitch angle, of course, also MUSIC algorithm joint estimation for the frequency, the azimuth and elevation.)

说明：  对一个二阶模型模型进行脉冲响应辨识，并且通过搭建simulink模型取得了两组输入-输出数据，一组是在有高斯噪声的干扰下获得u1-y3，另外一组是在没有高斯噪声的情况下获得的u1-y1，对这两组数据进行基于haar小波基的脉冲响应辨识，与实际模型的脉冲响应相比较（注：三个excel表必须放在matlab/work文件夹下才能运行）(Second-order model to a model of impulse response identification, and achieved through building simulink model for two groups of input- output data, a Gaussian noise in the interference with access to u1-y3, another group in the absence of Gaussian noise of access to the u1-y1, these two sets of data haar Wavelet-based impulse response identification, and the actual model of the impulse response comparison (Note: Three excel table must be on the matlab/work folder to run ))

程序是基于元胞自动机的交通模型，主要是针对单车道、单车变数运动的描述(Program is based on cellular automaton traffic model for the description of the movement of bicycle paths, cycling variables)

基于S变换的地震薄互层分析，以及视频分析方法的对比(Based on the seismic thin interbedded S transform, and contrast of video analysis methods)

模糊PID 调试成功 先运行fuzzypid.m,在运行fuzzypiduse.m(Fuzzy PID successful commissioning of power function and simulink simulation)

To solve Ax=b - input A, b, x0 (initial guess), ni (number of iteration) - output

说明：  基于负熵的ICA算法，独立成分分析；负熵；盲信号分离；固定点(Negative entropy based ICA algorithm, independent component analysis negative entropy blind signal separation fixed point)

ANALOG AMP SIMULATION