System_Analysis

Transient Overvoltage in Power System

BLIND IDENTIFICATION OF LINEAR CHANNELS USING THE DATA CONSTELLATION

基于离散泊松方程解的相位解包裹离散余弦算法(Solution of the discrete Poisson equation)

一个用MATLAB实现的多层感知器(a MATLAB the multilayer perceptron.)

说明：  A commonly used control device called a programmable logic controller, or a PLC, is used to read a set of digital and analog inputs, apply a set of logic statements, and generate a set of analog and digital outputs. Using the example in the previous paragraph, the room temperature would be an input to the PLC. The logical statements would compare the setpoint to the input temperature and determine whether more or less heating was necessary to keep the temperature constant. A PLC output would then either open or close the hot water valve, an incremental amount, depending on whether more or less hot water was needed. Larger more complex systems can be controlled by a Distributed Control System (DCS) or SCADA system.

说明：  神经网络遗传算法bp网络，有关网络训练如何正确进行分类(Neural network genetic algorithm bp network, network training related to how to properly classify)

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。-consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of

以下的 Matlab 项目中包含的源代码和用于基于 gui 平日预测的 Matlab 例子。关于错误的输入，为几个月和日期已经包含该用户不能计算的错误警告与错误而周围。输入每月应在数字。在项目文件部分中列出的源代码和包含在此项目中的文件，请确保列出的源代码是否满足您的需求存在。

svm 支持向量机代码 support vector machine(support vector machine svm)

基于线性判别的人脸识别，本设计对主成分分析和线性判别两种子空间方法进行了深入研究，包括LDA及其在人脸识别应用的若干问题(Face recognition based on linear discriminant, the design of the principal component analysis and linear discriminant subspace methods are two in-depth study, including the LDA and its Application in Face Recognition Issues)