duichenzhenzi

linear convolution using circular

information coding theory with help of matlab

通用模拟退火优化算法 General simulated annealing algorithm 模拟退火优化算法能过较大限度的避免局部最优解 (General simulated annealing optimization algorithm General simulated annealing algorithm simulated annealing optimization algorithm can have a greater level of local optimal solution to avoid)

iso14443标准part1和part2的中文版本（仅是部分内容的翻译），供大家参考。(ISO14443 standard part1 and part2 of the Chinese version (only part of the contents of the translation), for your reference.)

quinto esempi vari per c++ (schemi base)

说明：  对图像进行DWT变换后的图形结果，如上传所示！(DWT transform the image of the graphical results, as shown upload!)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(P0301 : digital image data matrix display and Fourier Transform P0302 : Two-dimensional discrete cosine transform image compression P0303 : Gray used a new method to enhance the contrast of the image P0304 : histogram equalization P0305 : Simulation images by white Gaussian noise and Impulse noise impact P0306 : 2D median filtering function medfilt2 right by the Salt and Pepper image noise filtering P0307 : MATLAB filter2 the function of noise interference by the image filtering P0308 : Image Adaptive Filter Weiner P0309 : use five different gradient Enhancement Act for image sharpening P0310 : Images of the high-pass filtering and mask handling P0311 : use Butterworth (Butterworth) low-pass filter to noise interference by the image smoothing P 0312 : Butterworth (Butterworth) high-pass fi)

量子微粒群算法工具箱Quantum particle swarm optimization toolbox(Quantum particle swarm optimization toolbox)

SDR gsm/edge emulator

最小熵解卷积，通过解卷积运算降噪，且能实现故障特征分离(Minimum entropy deconvolution, deconvolution operation by noise, and can achieve separation of fault features)