dct1_embed

实现对图像的任意形状的裁剪。注意：图像裁剪后带有背景色(Realization of arbitrary shape image cropping. Note: the image is cropped with a background color)

用 双 线 性 插 值 法 实 现 图 像 缩 放(Using bilinear interpolation for image zooming)

一种彩色图像增强方法，它用于增强图像的对比度，优化图像视觉效果，同时保持几乎一致的图像色彩保真度.(A color image enhancement method, which used to enhance image contrast, optimizing the image visual effects, while maintaining almost the same image color fidelity.)

求解L-1范数最小,利用线性规划算法，实现压缩感知的功能(min L-1 norm)

计算图像的均值和方差函数，matlab编写的，可以添加到自己的图像处理中(Calculated the mean and variance of the image function, matlab prepared, can be added to their own image processing)

AMN解决分类问题 用MATLAB去实现(ANN MATLAB)

说明：  利用c语言快速实现各类小波变换，案例丰富(Using C language to realize all kinds of wavelet transform quickly, with rich cases)

电压跌落是最严重的动态电能质量问题之一， 精确定位电压跌落起止时间是应对电压跌落问题的 重要前提和基础。由于电压采样信号往往有噪声分 量，现有的方法在定位电压跌落的起止时间时存在 局限性。本文提出利用多小波变换及相邻系数去噪 的电压跌落定位方法。多小波兼有对称性、正交性、 有限支撑性和二阶消失矩等优异的信号处理性能， 利用GHM多小波可以准确定位电压跌落起止时间。 多小波变换系数在每层之间具有对应关系，多小波 相邻系数将紧相邻的若干个系数作为一个整体来确 定阈值，考虑了系数之间的相关性，能获得更好的 去噪效果。通过 Matlab 进行仿真验证，仿真结果表 明，所提出的方法的正确性。 (Voltage sag is one of the most serious dynamic power quality problems. Critical start-time and end-time are important indices for voltage sags. But the sampling signals often have noisy component, the locations of start-time and end-time are hard to get. Wavelet is an effective tool for those non-stationary signal processing and has been used in this field. Local feature in the signal can be enlarged after the transformation using the scalar wavelet. But scalar wavelets cannot contain orthogonality, symmetry, compact support and higher order of vanishing moments simultaneously. In this thesis, multi-wavelets GHM is used to detect and locate power quality disturbances. Multi-wavelets offer many excellent properties such as the same approximation order but more compact support. The dependence of the multi-wavelets coefficients varies with the level, so neighboring coefficien)

说明：  Legendary server controller for game enthusiasts to study, can

对随机数的检测,统计0和1的频数,有利于减少计算量()