guassian-band-reject

读入一幅256*256图像，将它分成8*8pixel的若干块，对每块做DCT变换，保留Z型顺序的若干变换系数，进行IDCT重构图像，计算重构图像的信噪比(Reading a 256* 256 image, it will be divided into several blocks of 8*8 pixel, keep each optimal Z transformation of sequence number, IDCT transform coefficient calculation reconstruction image reconstruction images,and the signal-to-noise ratio)

说明：  Levenberg-Marquardt算法 使用Levenberg-Marquardt算法来最小化(Levenberg-Marquardt algorithm using the Levenberg-Marquardt algorithm to minimize the model)

一种OMP算法，用于压缩感知稀疏信号恢复算法，性能比传统的OMP好。(One kind of OMP algorithm for compressed sensing sparse signal recovery algorithms, the performance is better than the traditional OMP.)

一本讲解matlab库类的好书 讲解很详细 适合初学者使用(a book for MFC kulei)

关于粒子滤波算法入门的基础知识，可以快速理解粒子滤波相关概念(Basic knowledge about particle filter entry, you can quickly understand the concepts of particle filter)

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )

这是几幅比较好的SAR影像，可用于去噪或者目标提取、分割等算法的示例图像，图片比较清晰而且地物比较丰富。(This is the good pieces of SAR images can be used for denoising or object extraction, image segmentation algorithm for example, the picture is relatively clear and rich in surface features.)

已知一个序列x(n)=0.5cos(0.55*pi*n)+cos(0.45*pi*n),时域FFT分析其频谱。 （1）使用不同宽度的矩形窗截断该序列为M点，取M分别为：20，40，160,观察不同长度对频谱影响；（2）使用哈明窗和凯泽窗重做；（3）对三种窗的结果进行分析比较；（4）总结窗类型和长度对频谱分析的影响。 (Known a sequence x (n) = 0.5cos (0.55* pi* n)+ Cos (0.45* pi* n), time-domain FFT analysis of its spectrum. (1) use a different width of the rectangular window of the sequence for M cut-off point, take M are as follows: 20,40,160, observing the impact of different lengths of the spectrum (2) the use of Hamming window and the Kaiser window redo (3 ) on the three windows analyzed and compared the results (4) summarize the type and length of window for spectrum analysis.)

用matlab中的simulink搭建statcom模块，已经通过测试(use matlab to build the statcom model)

This program simulate the suspension system for a passenger car. It employes Sliding Mode Control, Skyhook Damper, Fuzzy Logic Control to control Semi-Active Suspension System