Proge.dl

Matlab simulink working example for online weighing of a conveyor.

OFDM链路级的仿真器场景是单小区单用户，信号从发送端发送，在接收端进行信号估计。估计误差可以从接收和发送信号的不同得到。仿真器的输出是BLER/BER vs SNR。(OFDM Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table。)

GA和PSO算法matlab程序，方便大家使用和学习(GAPSO algorithm matlab program, easy to learn, easy to modify and adapt to use)

本程序为用matlab实现高等数学中的二次曲面图像的绘制(the procedure for senior math figure)

数值计算方法中求解方程根的算法 亲测可用 附带注释 MATLAB源程序( root-finding)

模式识别中的bayes判别分析算法，正确率可以达到98％，包括轨道机动仿真、初轨计算。( Pattern Recognition bayes discriminant analysis algorithm, Accuracy can reach 98 , Including orbital maneuvering simulation, initial orbit calculation.)

针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针对大量图像进行了实验和增强效果的定性与定量评价, 并与双向直方图均衡法、二代小波变换法、Curvelet 变换法和多尺度Retinex法作了比较。结果表明, 所提出的方法增强了图像细节, 抑制了噪声, 并明显改善了图像的整体视觉效果。(As infrared image enhancement method based on wavelet transformation has the problem of unperfect visual effect , and Retinex enhancement algorithm can enhance visual effect of the image by improving brightness uniformity , amethod based on stationary wavelet transformation and Retinexis proposed.Firstly , the infrared image is decomposed into high-frequency detail and low-frequency approximation components at various resolutions, and the low frequency subband image of the largest scale is enhanced by multiscale Retinex algorithm.Then, the highfrequency subband images are denoised by Bayesian shrinkage method, and the gain coefficients of high-frequency subbands are available by calculating the local contrast of the enhanced low-frequency subband based on fuzzy rules to get the enhanced high-frequency subband images .Finally, the enhanced image is reconstructed by the low-frequency subband and high-frequency subbands .Experiments with qualitative and quantitative uation are carried ou)

kaiming he的guided image filtering的c++代码，利用VS2010+OPENCV2.4.4实现，效果和公布的MATLAB代码相同。(C++ code for KaiMing He s guided image filtering, the result as same as matlab code which publish in the web, project is code via VS2010+OPENCV2.4.4.)

基于遗传算法的bp神经网络对基因芯片数据进行分类，能进行准确的分类，能运行。很实用(bp svm matlab)

模拟退火算法的MATLAB范例程序！对初步了解的初学者有不错的帮助！(Simulated annealing algorithm MATLAB example program! Preliminary understanding of the beginners have a good help!)