significance

摄影测量学重要内容：单像空间后方交会（非常实用）(Photogrammetry: single space resection)

各向异性去噪，考虑到空间域的临近关系，同时考虑灰度的相似性，是相对比较经典的去噪模型(Anisotropic denoising, taking into account the close relationship between the spatial domain, taking into account the similarity of gray, is a relatively classical denoising model)

This article presents a new adaptive framework for locally parallel texture modeling.

变异函数的matlab实现，可用于空间经济学(Matlab implementation of variogram)

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.)

对电力系统谐波进行了分析和仿真.仿真效果好,可以直接使用(The power system harmonics analysis and simulation. Simulation results, and can be used directly)

个人学习Matlab过程中编的程序，带有题目，适合初学者看(The process of individual learning compiled Matlab program, with topics, for beginners to see)

用Matlab编程，其中包括，FFT算法，FIR，IIR和卷积的代码(With Matlab programming, including, FFT algorithm, FIR, IIR, and convolution code)

Space-Time Codes and MIMO Systems中的Fig2.12的代码，书中的代码有误(This code is uesed for simulation for the book Space-Time Codes and MIMO Systems , Fig 2.12)

这是一维电测深及半自动反演程序，进行直流电一维正反演，(This is a one-dimensional inversion of resistivity sounding and semi-automatic procedure, the DC one-dimensional inversion,)