SequenceImageWaveletCompress

一种与FASTA实现的前向向后分裂的指南(A FIELD GUIDE TO FORWARD-BACKWARD SPLITTING WITH A FASTA IMPLEMENTATION)

DNA比对中FASTA算法的简单实现，通过建立查找表、位移表和位移向量表来得出两条序列的最大匹配位移。(DNA matching the FASTA algorithm is simple to achieve, through the establishment of a lookup table, displacement and the displacement vector table to derive maximum matching two sequences displacement.)

图像变换 将图象分块(8*8)，作DCT变换，并作IDCT：DCT是一种可分离图象变换，用来图象压缩编码，IDCT用来解压缩(Image transform to image sub-block (8* 8), for the DCT transform, and IDCT: DCT is a separable transform image to image compression coding, IDCT used to extract)

关于车牌字符识别的神经网络算法,才用的是三层神经网络(shengjinwangluosuanfa in car recognise )

SVDD classifier 即支持向量数据描述分类器，能将数据分为两类。本文件也提供了训练数据和测试数据，方便进行测试。(Support vector data description classifier. Data can be divided into two categories .This document also provides training data and test data to make it easy to test the program.)

从人流统计的实际工程出发,实现了基于计算机视觉的人体运动检测及跟踪系统,采用“差影法”滤掉静止帧,使用自适应的一阶递归滤波及帧差法提取运动区域,并通过数学形态滤波的开运算和闭运算改善运动区域提取效果。实验结果证明本运动跟踪方案处理简单高效 、抗噪能力强,可以完成复杂背景下运动目标的实时性检测与跟踪。(Flow statistics from the actual project, the realization of computer vision-based human motion detection and tracking system, using )

首先将非平稳的故障振动信号进行双树复小波包分解，得 到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实 现了故障特征信息的提取。(In view of the above situation, a new fault diagnosis method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the non-stationary fault signal is decomposed into several different frequency band components through dual-tree complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity between the component and the original signal at the same time, the correlation coefficient is bigger, the more similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was eliminated effectively, and the effective si)

nca,近邻成分分析，距离度量学习里常用的。(nca)

KLDIV Kullback-Leibler or Jensen-Shannon divergence between two distributions.

说明：  matlab编写的直线检测算法，能够有效的提取出直线。和matlab自带的hough变换实现的同样的功能(matlab prepared in a straight line detection algorithm can effectively extract the straight line. And the hough transform matlab own to achieve the same function)