sfrmat2_guide

说明：  线性离散系统的批处理最小二乘参数估计的例程，噪声为方差为1的白噪声(Batch least squares linear discrete systems parameter estimation routine, the noise is white noise variance of 1)

《MATLAB数字信号处理》一书源码， 王彬主编，机械工业出版社。压缩文件包括书的ppt文件，和相关的例子源码("MATLAB digital signal processing," source code book, edited by Wang Bin, Machinery Industry Press. Zip file includes the book ppt files, source code and related examples)

image processing-average

svm分类器，有几类样本点，利用线性SVM分类器求出其分界面(svm classifier, there are several types of sample points, using a linear SVM classifier obtained the sub-interface)

顺序函数法求解一维非稳态导热反问题的源代码(Sequential function method for solving one-dimensional unsteady heat conduction inverse problem of the source code)

DPSK信号的调制解调Matlab代码实现的一个例子(采用正交调制解调)，方法简单可靠，使用性强(DPSK signal modulation and demodulation of a Matlab example code (using quadrature modulation and demodulation), a simple and reliable methods, the use of strong)

a matlab code for easy

冈萨雷斯书籍图像库 图像的基本 一些李娜图像等等(Gonzalez basic image image library books)

数值方法（MATLAB版）第三版 英文 本书介绍了数值方法的理论和实践知识。以实际例题说明概念定理，含大量习题和编程题。(numerical methods (MATLAB version) English third edition of the book on the numerical method of theoretical and practical knowledge. Practical examples to clarify the concept theorem, with a large number of exercises and programming problems.)

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. " )