gross_ralph_2004_3

2Transmitter,2Receiver,Spatial Multiplexing

Hurst指数是描述非函数长周期的重要指标。它有别于传统单位根检验，可以发现时间序列存在的超长周期性，可以用于判断市场风险，但运算相当繁琐，单独利用Excel计算费时又费力，作者在充分理解Hurst指数内涵和应用的基础上，利用Excel的宏语言VBA编写宏程序轻松实现Hurst指数的计算，通过这一工作也希望能使Hurst指数能够得到广泛的应用。(Hurst index is to describe the function of the long period of non-important indicator. It is different from the traditional unit root tests, time series can be found in the presence of the long periodicity, can be used to determine market risk, but the operation rather cumbersome, separate consuming and laborious calculations in Excel, the authors fully understand the meaning and application of the Hurst exponent based on the use of Excel macros written in VBA macro language easily Hurst index calculation, also hopes to make this work through the Hurst exponent can be widely used.)

小波变换和小波包去噪程序，程序清晰，可执行，有注释(Wavelet transform and wavelet packet denoising procedures, procedures are clear, can be implemented, there are notes.)

程序为粒子滤波器跟踪算法的演示程序，粒子滤波器算法适用于非线性非高斯情况下的跟踪估计。本程序为pf专家程序，演示pf跟踪的核心思想，与大家共享。(procedures for tracking particle filter algorithm Demonstration Program, particle filter algorithm applicable to the non-linear Gaussian case tracking estimates. The procedures for pf experts procedures, presentations pf tracking core ideas and share.)

不适用任何库函数，自己用matlab编写的直方图均衡化，可以看到结果图片(realize the Histogram Equalization without extant function)

利用基于直方图的自适应阈值方法实现分割前景与背景(The use of adaptive threshold method of histogram based segmentation of foreground and background)

MATLAB 视频教程2 适合初学者，帮你从零开始学起(MATLAB Video Tutorial 2 for beginners, to help you learn starting from scratch)

用MATLAB编写的离散模糊控制程序，结合本程序，我相信能能更快更好的理解模糊控制算法。算法在MATLAB Version: 7.14.0.739 (R2012a)运行无误。 function [FCU_T1,FCU_T2,FCU_T3,FCU_T4]=fuzzy_table(Me,Mec,Mu,UC) Me 隶属度表1 Mec 隶属度表2 Mu 隶属度表3 UC 模糊规则 FCU_T1 重心加权法，输出精确值 FCU_T2 重心加权法，输出离散值 FCU_T3 重心加权法（对隶属度平方），输出离散值 FCU_T4 最大隶属度法 function [R,n,nE,nEC,nU,nfe,nfec,nfu]=fuzzy_relation(Me,Mec,Mu,UC) Me 隶属度表1 Mec 隶属度表2 Mu 隶属度表3 UC 模糊规则 R 表示全体规则构成的模糊关系 n=nfe×nfec nE 模糊变量E的语言值个数 nEC 表示模糊变量EC的语言值个数 nU 表示模糊变量U的语言值个数 nfe 表示E的等级量个数,示例1中其论域为{-6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6} nfec 表示EC的等级量个数,示例1中其论域为{-6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6} nfu 表示U的等级量个数,示例1中其论域为{-7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7} Me 表示E的隶属度表 Mec 表示EC的隶属度表 Mu表示U的隶属度表 UC表示规则表(fuzzy control algorithm（matlab program）)

Self-adaption arithmetic to forecast some data like CPI in short terms

Control engineering aguid for beginners