three_phase_charge

function [a,b] = pade(x,p,q) PADE Model a signal using the Pade approximation method ---- Usage: [a,b] = pade(x,p,q) The input sequence x is modeled as the unit sample response of a filter having a system function of the form H(z) = B(z)/A(z) The polynomials B(z) and A(z) are formed from the vectors b=[b(0), b(1), ... b(q)] a=[1 , a(1), ... a(p)] The input q defines the number of zeros in the model and p defines the number of poles.

用等倾线法绘制二阶系统的相平面图 二阶系统自己拟定(Line method to draw the second-order system using equal inclination plan second-order system own prepared)

有源电力滤波器建模，能很好的滤除谐波，输出正弦电压(Active Power Filter modeling can be a good harmonic filter, the output sinusoidal voltage)

使用bolztmann机实现多层分类网络，内有mnist数据集(Machine to achieve multiple classifiers using bolztmann network data sets within mnist)

计算AR模型的参数，包括滤波、去趋势化、AIC判断阶数、计算AR模型系数。(Calculation AR model parameters, including filtering, detrended, AIC judgment order to calculate the AR model coefficients.)

粒子群算法matlab代码 (PSO matlab code )

工程师和科学家们面临着用更少的时间建立复杂系统模型的需求，他们使用分布式和并 行计算来解决高性能计算的问题。这些分布式的环境由多处理器和多核计算机来实现。 Mathworks公司开发的分布式计算工具箱可以在多处理器计算环境中使用 MATLAB 和imulink 解决计算、数据密集型问题。可以使用该工具箱解决通过装配多个处理器包含几个单独工作单位或单个大型计算的问题。这些处理器可以驻留在一个多处理器计算机，或者，当工具箱配合 MATLAB 分布式计算引擎时，驻留在计算机集群上。(Engineers and scientists are facing with less time to build models of complex systems needs, they use distributed and parallel computing to solve the problem of high-performance computing. The distributed environment consists of multi-processor and multi-core computer to achieve. Mathworks Distributed Computing Toolbox, developed in multi-processor computing environment MATLAB and imulink solve computing, data intensive problems. You can use the toolkit to solve multiple processors by assembling several separate work units or containing a single large-scale computing problems. These processors can reside on a multi-processor computer, or, when the toolbox with MATLAB Distributed Computing Engine, it resides on a computer cluster.)

matlab做多元逐步回归的程序，适合初学者使用，简单明了(matlab to do multiple stepwise regression procedures, suitable for beginners to use, simple and clear)

拥挤场景下的异常检测，实现视频监控的异常自检测与中作学习，基于matlab的实现(Anomaly detection in crowded scenes under)

应用四阶龙格库塔法求解微分方程的初值问题(Applications fourth-order Runge-Kutta Solving Ordinary Differential Equations)