report-coding

M/M/1 模型,主要用来求解单对单服务台的模型，过程比较简介，适合任何分布(M/M/1 model, mainly used to solve the one-on-one help desk model, the process is relatively brief, suitable for any distribution)

说明：  独立成分分析是近年来出现的一种强有力的数据分析工具。1994年由Comon给出了ICA的一个较为严格的数学定义，其思想最早是由Heranlt和Jutten于1986年提出来的。ICA从出现到现在虽然时间不长，然而无论从理论上还是应用上，它正受到越来越多的关注，成为国内外研究的一个热点。特别是从应用角度看，它的应用领域与应用前景都是非常广阔的，目前主要应用于盲源分离、图像处理、语言识别、通信、生物医学信号处理、脑功能成像研究、故障诊断、特征提取、金融时间序列分析和数据挖掘等。 ICA是一种用来从多变量（多维）统计数据里找到隐含的因素或成分的方法，被认为是主成分分析（Principal Component Analysis, PCA）和因子分析（Factor Analysis）的一种扩展。对于盲源分离问题，ICA是指在只知道混合信号，而不知道源信号、噪声以及混合机制的情况下，分离或近似地分离出源信号的一种分析过程。(Independent Component Analysis, ICA)

日历，用matlab程序编程的一款日历软件(Calendar, with the matlab programming for a calendar software)

应用MATLAB实现傅里叶变换的源代码，有助于更好的学习傅里叶变换。(Achieve Fourier transform of the source code based on MATLAB, contribute to a better learning Fourier transform..)

advanced mathematics using the matlab ver good instrustions and easy to use

一种同质的多传感数据融合新算法，克服了融合过程中必须依赖于多传感数据之间关系阀值的人为经验设置问题(Of a homogeneous multi-sensor data fusion algorithms, to overcome the integration process must rely on the relationship between multi-sensor data set the threshold issue of human experience)

本文从理论上对LFM-CW 雷达进行了信号分析，并对LFM-CW 雷达的信号 处理方法进行了简单研究，最后通过仿真程序验证了该信号处理方法（距离/多普勒处理） 在计算运动目标距离和速度时的正确性，为LFM-CW 雷达信号处理提供了理论依据。(This paper analyze the signal of LFM-CW radar by theory, and research the signal process method of LFM-CW radar. In the end, this paper validate the signal process method’s correctness to calculate the moving target’s distance and speed by emulate program. This paper offer the theory for the signal process method of LFM-CW radar.)

CAP01 - General Characteristics of Modern Power Systems - Power System Stability and Control - P. Kundur

This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega + omega/Q + sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) (This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega+ omega/Q+ sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) )

The Matlab code FDE12 implements the Predictor-Corrector method of Adams-Bashforth-Moulton for the numerical solution of a non-linear fractional differential equation (FDE) (download the Matlab code FDE12).