Raised_cosine_filter-original

C/C++ and Matlab types convertor

一个MATLAB阵列信号处理的工具箱介绍，大家看看吧(A MATLAB toolbox described array signal processing, we see it)

基本粒子全算法求解函数最优，测试函数以及主程序，很适合新手进行学习(Fundamental Particle Full Algorithms for Function Optimization)

说明：  OFDM系统的数字预失真系统，记忆多项式，LMS算法(DPD OFDM PA-MODEL PD MODEL ODD ONLY)

小波神经网络研究的进展及一种新算法，希望可以抛砖引玉(WNN progress of the studies and a new algorithm, hope to start)

picture qu zhao is very important to you(picture qu zhao)

实现了系统辨识的几种典型算法。 该例程有详细的注释和说明。(realized the system identification of several typical algorithms. The routines have detailed notes and annotations.)

PN码同步仿真实验 伪随机序列 m序列的扩频仿真，里面有详细的参数设置，模块搭建(PN code synchronization simulation pseudo-random sequence of m-sequence spread spectrum simulation, which has detailed parameter settings, the module structures)

luajit ffi implementation of thepiratebay s old torrent server hypercube

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)