RRT

本书是讲用matlab工具箱处理小波分析算法的书籍，书里包含了工具箱的所有常用函数。(This book is about dealing with wavelet analysis toolbox matlab books, the book contains all the common functions of the toolbox.)

显示图像，估计图像背景，直方图均衡化，二值化等基本操作(show figures,estimate background of figure)

You all might have used CTime or CTimeSpan to manipulate the system timer. Here is an article to show you how your system timer works. I will give you an idea of port communications behind the system clock manipulations. Those who are a little biased on hardware and software interfacing practices would find this article of great help.

neural network trained with extended kalman filter

用c程序和matlab分别试验一种k-means改进算法，按照方法选取聚类中心点，事实证明，这种改进是有效的。(Matlab with c procedures and were experimenting with an improved k-means algorithm, in accordance with the method of selecting cluster center, the facts show that this improvement is effective.)

GMSK调制，无噪声，给出了高斯滤波器，IQ两路幅度与相位的波形等(GMSK modulation, noise, gives a Gaussian filter, IQ amplitude and phase of the two waveforms)

一种基于最小熵反褶积( ]8+83)3 6+D*(A4 Q20(+W(-)D8(+，]6Q) 的滚动轴承故障特征提取方法: 在利用 /X 模型去除齿轮啮合产生的确定性信号的基础上，对保留信号进行最小熵反褶积，增强冲击信号"该方法避免了传统轴承故障诊断方法中带通滤波器设计的难题，实车测试表明: 与共振解调技术相比，该方法提取的滚动轴承故障特征更加明显，更适合于工程应用"(Based on minimum entropy deconvolution (] 8+83) 3 6+D* (A4 Q20 (+W (-) D8 (+,] 6Q)' s fault feature extraction method: using/X model to remove the uncertainty generated signal gear on the basis of the retention signal minimum entropy deconvolution, and enhance the impact of signal " This method avoids the problems of traditional bearing fault diagnosis method of the bandpass filter design, real vehicle test showed that: compared with the resonance demodulation technology, which fault feature extraction method is more obvious, more suitable for engineering applications. " )

接收部分从信道接收信号。经基带滤波、短码解扩、沃尔什解调、解扰、去交织和维持比译码，输出解调后的信号。各通信模块和发射机的相关模块设计类似。(Receiving part receives signals from the channel. The baseband filtering, short code solution extender, Walsh demodulation, cross talk, go to interweave and solution than decoding, maintain the output signal after demodulation. Various communication module and the related module design similar transmitter. )

AIC准则用于信源数估计 matlab源程序(criteria for the AIC source estimates Matlab source)

这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )