SyllabusM1-SMI

汽轮机转子系统前三阶临界转速的传递矩阵法(Turbine rotor system critical speed before the third-order transfer matrix method)

A small GUI for displaying Newton-Raphson fractals (i.e. the basins of attraction) of complex polynomials. See for example http://en.wikipedia.org/wiki/Newton_fractal.

说明：  对一个单位负反馈系统， 当k=1.5时，绘制其bode图和nyquist图；(For a unit negative-feedback system, when k = 1.5, rendering the Nyquist diagrams and Bode figure )

说明：  利用干扰观测器+滑模控制进行机械臂轨迹跟踪，完整代码(The trajectory tracking of the manipulator with disturbance observer + sliding mode control)

MATLAB里面有LMS算法的程序，下面是我自己编写的LMS算法程序，供交流(MATLAB LMS algorithm inside the procedure, the following is my own preparation of the LMS algorithm procedures for the exchange of)

MATLAB7.1的关于遗传算法的所有源程序详解及其变异算法(MATLAB7.1 all about the source of genetic algorithms and its variation Detailed Algorithm )

Program to simulate Rayleigh fading using a p-th order autoregressive model AR(p) according to ％ Baddour s work: "Autoregressive modeling for fading channel simulation"(Program to simulate using Rayleigh fading a p-th order autoregressive model AR (p) accord % ing to Baddour's work : "autoregressive modeling for fading channel's imulation ")

多径多普勒效应讲义(含matlab程序)讲解的非常详细 通俗易懂并包含大量的matlab仿真(Doppler effect of multi-path overhead (including Matlab procedures) on the very detailed user-friendly and contains a number of The Matlab simulation)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

the gibbs sampling technique for regressions as in james lesage toolbox