notch_filter_50hz.rar

采用遗传算法及改进的遗传算法进行配电网故障的定位 (Genetic Algorithm algorithm for fault location of distributionnetworks)

说明：  当用户已知系统的输入和输出时，该程序可用来估计系统的参数！(Known system inputs and outputs, it is estimated the parameters of the system!)

EVO CAM config for channels of sat

采用FIR最小二乘逆滤波器来实现反卷积 1.通过输入信号xn与传递函数gn求输出yn 2.通过使平方误差达到最小求出最佳延迟 3通过最佳延迟求得逆滤波器传递函数hn 4通过hn与yn进行卷积运算得到还原的输入信号xn1，进行对比 5按照题设要求，进行相关噪声添加，再次进行上述实验过程 (Using least squares FIR inverse filter to achieve deconvolution)

用来模拟粒子运动的。此元胞自动机需要 一种不同类型的元胞的邻居。此元胞的邻居时刻变化，因此某一个方向运动趋势， 将继续在同一个方向。换言之，此规则保存势头，这是基础的动力仿真。这种邻 居通常被称为 margolis邻居并且这种邻居通常由重叠的 2x2 块的元胞构成。在下 面的表格中，偶数步长时左上方 4 元胞为邻居关系，奇数步长时右下的 4 元胞为 邻居关系。某一特定元胞在每一个时间步长都有3 个邻居，但是具体的元胞构成 了邻居的旋转和反复。(Used to simulate the particle movement. The cellular automaton requires a different type of cell neighbors. This moment of change in a neighbor cell, so a certain direction the trend will continue in the same direction. In other words, this rule saved momentum, which is the foundation of the power simulation. This neighborhood is often called a neighbor and this neighbor margolis usually overlapping 2x2 blocks of cellular composition. In the following table, even when the step left four yuan for the neighbor cell, the odd step 4 when the lower right cell for the neighborhood. A particular cell in each time step has three neighbors, but the specific cellular composition of the neighbor s rotation and repeated.)

一个pupupwindow的例子，非常的有意思，希望能够有帮助(An example of a pupupwindow, very interesting, hope to be able to help)

剑桥大学用于线性和双线性动力学系统辨识的工具箱(University of Cambridge, for linear and bilinear dynamical systems identification toolbox)

基于神经网络的模拟调制识别，首先是模拟信号的产生，再对所获的信号进行训练，最后进行识别(Analog modulation recognition based on neural network, the first is the generation of analog signal, then to training of received signal, finally for identification)

这是一个基于线性矩阵的神经网络控制程序，它比普通的更简单，因为其应用的参数较少。(This is a learning model for matrix-based data. It can be more efficient than standard vector-based models when the training sample is small or the inputs are matrices, since this model has less parameters than standard ones and exploits an inner structure of the inputs)

LMS由美国斯坦福大学的Widrow和Hoff在研究自适应理论时提出的，由于其容易实现而很快得到了广泛应用，成为自适应滤波的标准算法。 (LMS Widrow of Stanford University by the United States and Hoff adaptive theory put forward in the study, because of its easy to implement and will soon be widely used as a standard adaptive filtering algorithms.)