manual

mm1排队模型的matlab源码，从c语言裸转过来的，主要解决排队论在matlab中的仿真问题(mm1 queue model matlab source code, from the c language naked in turn, mainly queuing theory to solve the simulation problem in matlab)

这是一份MATLAB基础课件，由于我也是初学者，这部课件讲的很浅显，但比较适合初学者对MATLAB所有功能的一个初步了解内容包括涵数值数组及其运算， M文件和面向对象编成， 字符串数组， 符号变量， matlab 绘图 及 Simulnk动态仿真。以及两个基本浅显的程序题。此为第 1章。(This is a basic MATLAB courseware, because I am also a beginner, this software is very simple-speaking, but more suitable for beginners of all the features of MATLAB, a preliminary understanding of the content including the Han and its numerical array computing, M documents and for object into string array, variable symbols, matlab graphics and dynamic simulation Simulnk. As well as the two basic procedures for simple questions. This is Chapter 1.)

风力发电中的风力模型 在MATLAB中的模型 很有用哦(Wind power in the wind model in MATLAB useful model in Oh)

信道是多径信道,升余弦滚降 ，取样时间无偏差的信道特性,与波形功率谱,与误码率仿真(Channel is multipath channel or Cosine, sampling time without deviation channel characteristics, and power spectral waveform, with BER simulation)

利用小波变换，也是利用多分辨率，去除图像的噪声，从而达到了去除噪声的效果。(Using wavelet transform, which uses a multi-resolution, to remove the image noise, so as to achieve the removal of the noise effect.)

实现低信噪比下的语音断电检测，谱熵端点检测，优于双门限端点检测法(Low-power voice SNR detection, spectral entropy endpoint detection, better than the two-endpoint detection threshold)

fault finding in power system analysis

Matlab Interactive seminar

关于卡尔曼滤波的好书，详细介绍了卡尔曼滤波的原理以及实现。(detial Kalman Filtering,and give various examples)

MATLAB 数学手册复合版内容详尽 包括矩阵及其基本运算，特征值与二次型数值计算与数据分析 插值、拟合与查表 常微分方程数值解偏微分方程的数值解 符号运算积分变换Taylor级数 概率统计 随机数的产生 随机变量的概率密度计算 随机变量的累积概率值(分布函数值)正整数的频率表 4.6.2 经验累积分布函数图形 最小二乘拟合直线 绘制正态分布概率图形 绘制威布尔(Weibull)概率图形 样本数据的盒图 给当前图形加一条参考线 在当前图形中加入一条多项式曲线 样本的概率图 附加有正态密度曲线的直方图在指定的界线之间画正态密度曲 假设检验 方差分析 foptions函数 非线性规划问题 隶属函数 模糊推理结构FIS 绘图与图形处理 含有基本实例代码 (MATLAB math composite version of the manual includes a detailed matrix and the basic computing, quadratic eigenvalue with numerical analysis and data interpolation, fitting with the look-up table the numerical solution of ordinary differential equations numerical solution of partial differential equations symbols computing integral transforms Taylor class the number of probability and statistics of the generated random number of random variables the probability density of random variable cumulative probability values (distribution function value) positive integer frequency table 4.6.2 graphical experience distribution function least-squares fitting a straight line Normal probability graph drawing Drawing Weibull (Weibull) probability graph Sample data box diagram To add a reference to the current graphics line In the current graph by adding a polynomial curve Additional samples have the probability map is the histogram density of states curve at the specified)