shusan

光波传输原理与技术（含有利用matlab进行仿真的代码和相应的结果）(Lightwave transmission principle and technology (with the use of matlab simulation code and corresponding results))

可以对自定义体模或者临床数据进进行fbp重建-fbp (Custom phantom or clinical data into the the fbp reconstruction-fbp)

包括emd分解程序，求边际谱程序，hilbert包络解调程序，求取小波包频带能量程序，K均值聚类程序(fault diagnosis program)

histogram draw, and parameters of histogram

傅里叶变换和小波变换重建图像的比较效果，这个程序可以用来实现四个要求：1、FFT和WT重建效果比较；2、通过改变小波来比较重建效果；3、通过改变分解层数来比较重建效果；4、通过改变大系数个数来比较重建效果。其中还有一个计算PSNR的程序(the comparative effect of reconstruction image by Fourier transform and wavelet transform 。 the program can be used to achieve the four requirements: 1, FFT, and WT reconstruction effect 2, by changing the wavelet to compare the reconstruction effect 3, by changing the decomposition layers to compare the reconstruction effect 4, by changing the number of large coefficient of comparative reconstruction results. Including a procedure of calculating PSNR )

新开发出来的经验模态小波变换工具及其例程。(EWT toolbox.)

维纳滤波理论在图像处理中的应用。 包括维纳滤波，维纳复原，维纳边沿提取，维纳增强。我的一个小课题的终结版。 附有PPT(Wiener filtering theory in image processing applications. Including the Wiener filter, Wiener restoration, Wiener edge extraction, Wiener enhanced. I have a small issue of the final version. With PPT)

多目标跟踪 (三维)-算法matlab编制(multi-target tracking (3D)- preparation algorithm Matlab)

用matlab做的车牌识别的完整源代码,包括车牌定位,二值化,滤波去噪,字符分割,识别,不过识别部分用的BP网络,(License plate recognition using matlab to do the complete source code, including the license plate location, binarization, filtering denoising, character segmentation, recognition, but identify with some of the BP network,)

本论文中，一个混合载波频率偏移估计方案用于基于通用滤波多载波的系统。 此方案所述CFO估计器基于最小平方（LS）准则首先导出以获得粗略频率偏移估计使用大频率搜索步骤。 接着，通过其精确估计残留频率偏移自相关操作补偿。 该算法具有较大估计的特点范围以及更高的估计精度。(In this letter, a robust hybrid carrier frequency offset (CFO) estimation scheme based on training symbols is devised for universal-filtered multi-carrier (UFMC) based systems. In this scheme, the CFO estimator based on a least square (LS) criterion is firstly derived to acquire a coarse frequency offset estimation with the use of a large frequency searching step. And then, the residual frequency offset is accurately estimated through the auto-correlation operation of received signals which have been compensated. This algorithm has the features of larger estimation range as well as higher estimation precision.)