matlab3

Matlab code for OFDM with multipaths

说明：  程序实现汉明码的编码与译码，与一般程序不同，该程序具有良好的接口(Program for hamming code encoding and decoding, and the general procedure, this program has a good interface)

matlab code for Meijer function

在基本pso的基础上做改进，引入de算法，高精度实现pso算法的寻优。(On the basis of the basic pso make improvements, the introduction of de algorithm, pso algorithm to achieve high-precision optimization.)

waveguide filter mode matching

说明：  矩阵求逆（lu分解法），已在matlab下进行测试，计算精度大概为小数点后4位(Matrix inversion (lu decomposition method), has been tested under matlab, after the decimal point accuracy is approximately 4)

wavelet-denoising using hard-thresholding method

该功能能实现Matlab截断效应的仿真，绘图。直白的看出截断效应的效果。(This feature is able to achieve Matlab simulation of the truncation effect, drawing. Straightforward to see the effect of the truncation effect.)

多传感器数据融合综合分析，matlab实现各种方法。(the synthetical anslyse of muti-sensor data fusion)

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.)