Conv-code-and-Turbo-code

matlab小波分析中脊波变换的源码，关于图象去躁，重构等等的。里面还有一篇论文大家可以参考参考！(matlab wavelet analysis ridgelet transform the source, on the image to impatient and remodeling and so on. There is also a paper everyone can refer to reference!)

lowpass filter using rectangular window

在matlab 2012a 下，将一段avi视频分割成序列帧，并保存。程序比较简单，就是用到了VideoReader(In matlab 2012a under the avi video into a sequence of frames, and save. Procedure is relatively simple, it is used in the VideoReader)

Descriç ã o de Erros de Splint Midea

a program to segmentation of syllable in speech processing

matlab 蚁群算法 源程序，里面有多个m文件(ant colony algorithm matlab source code, there are several m-files)

这是几幅比较好的SAR影像，可用于去噪或者目标提取、分割等算法的示例图像，图片比较清晰而且地物比较丰富。(This is the good pieces of SAR images can be used for denoising or object extraction, image segmentation algorithm for example, the picture is relatively clear and rich in surface features.)

说明：  1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇(1-32 is: graphics application papers 33-66 are: interface design articles 67-84 is: graphics processing chapter 85-100 is: Numerical Analysis Section)

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )

mtlab仿真的基于遗传算法的pid,实数编码和二进制编码(mtlab simulation based on genetic algorithms pid, real coding and binary coding)