matlab

。本指南主要考虑的是代码（格式）的正确性、清晰性与通用性。本指南的 目的在于帮助写出更可能正确、易于理解、更具有共享性与更利于维护的代码。(. The main consideration in this Guide is the code (format) the accuracy, clarity and versatility. The purpose of this guide is to help write more likely to correct, easy to understand, to share more and more conducive to maintaining the code.)

自己写的一个关于非零频的LFM信号的产生，及下混频到零频的代码，有详细的注释(A non-zero frequency LFM signal generation, and under the mixer to the zero-frequency code, with detailed comments)

modified newton raphson的源程序，可以实现非线性elastic求解F或是displacement(modified newton raphsom)

Dijkestra Algorith coded in matlab

描述了无线通信系统仿真的信道仿真部分，非常详细，请大家下载。(Describes the simulation of wireless communication system simulation part of the channel, very detailed, please download.)

Image Compression using DCT

针对卫星通信系统中常用的三种通信系统的matlab建模仿真(Matlab modeling and simulation for satellite communication systems commonly used in three communication systems)

matlab 仿真实例，对于matlab仿真具有很重要的意义(matlab simulation, matlab simulation for a very important significance)

车辆检测方法，背景差分，图像预处理，数学形态学处理(Vehicle detection methods, background difference, image pre-processing, mathematical morphology processing)

说明：  数字图像修复算法的评价标准也是从两个方面进行评价的，一个是修 复算法的效率，一个是修复后图像质量。修复算法的效率主要就是看修复 图像所用的时间，可以用时间就行量化。而图像质量很难从量上唯一的进 行评价，目前图像修复质量还没有统一的评价标准，从实际应用出发，修 复后图像质量的好坏大多数是从以下两个方面就行评价，修复后图像给人 主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair. One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair. The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only. At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people. Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)