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第一：边界加强，通过估计噪声和实际信号的比值，来确定各个尺度的细节系数，以达到噪声抑制和边界加强。第二，通过对小波分解的近似部分进行直方图均衡，达到加大整幅图片的对比度，而不太影响细节的目的。(First: to strengthen the border, through the estimates and the actual signal noise ratio, to determine the details of each scale factor, so as to achieve noise suppression and boundary strengthening. Secondly, the wavelet decomposition of the approximate portion of histogram equalization to increase the contrast of the whole images, and do not affect the details of the purpose.)

本人精心收藏的资料，该资料对粒子群算法改进的，值得借鉴。分享给大家(I am careful collection of data, the information on the particle swarm algorithm improvement, and worth learning from. We share)

its code for face recognitiona with eigen faces

matlab 非线性优化函数fmincon测试 (fmincon function test)

说明：  利用目标以前的坐标点完成目标未来未知位置的预测，分别利用一个到五个点来进行预测(Using the coordinates of points before the completion of target objectives of the forecast future unknown location, respectively, using 1-5 point forecast)

Adaptive signal processing Sayes s book computer project solution part3

采用MATLAB编写的神经网络案例程序源码(Program source code written in MATLAB neural network case)

tan function to sin and cosine

MATLAB源码，P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(MATLAB source code, P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- delete images from the PCB All current lines, retaining only the target chip)

这是一个关于信号视频分析的代码，用matlab编写，带有短时傅里叶变换，小波变换分析信号。(This is a video analysis on the signal code, written with matlab, with short time Fourier transform, wavelet transform signal.)