ActiveFilters

single layer perceptron

绘制甘特图的一个程序，已调试通过，接收到流水车间的指派表和时间表后绘制甘特图(接收到流水车间的指派表和时间表后绘制甘特图，绘制甘特图的一个程序，已调试通过，)

实现music测向，阵列信号处理中的重要算法，能够实现测量信号的波达角的程序( music direction-finding)

Boost库使用大全，每个函数的详细介绍，使用例子，是上手的Boost的必备教材(Boost library Guinness, detailed description of each function, usage examples, are essential materials to get started Boost)

Entropy coding tables (with size in bytes indicated).

手写数字识别 有GUI界面 能识别单个数字 识别率还是很高的(Handwritten numeral recognition with GUI interface to identify a single digit recognition rate is still very high)

matlab进行偏最小二乘的四种分组方法(Four grouping method of partial least squares matlab)

实现以下功能：装载信号；完成信号的单尺度一维离散小波分解；从系数中重构低频部分和高频部分；显示高频和低频部分；由小波逆变换恢复信号；多层一维分解；提取系数的低频和高频部分；重构第3层的低频系数；重构第1、2、3、4、5层的高频信号；重构原始信号并显示(Achieve the following functions: load signal complete signal single-scale one-dimensional discrete wavelet decomposition reconstructed from the coefficients in the low frequency and high frequency display high-frequency and low frequency restored by the inverse wavelet transform signal multi-layer one-dimensional decomposition extraction coefficient of low frequency and high frequency reconstruction of 3-layer low-frequency coefficients reconstruction of the first layer of high-frequency signal 1,2,3,4,5 reconstruct the original signal and display)

Color can provide an efficient visual feature for tracking nonrigid objects in real-time. However, the color of an object can vary over time dependent on the illumination, the visual angle and the camera parameters. To handle these appearance changes a color-based target model must be adapted during temporally stable image observations. This paper presents the integration of color distributions into particle filtering and shows how these distributions can be adapted over time. A particle filter tracks several hypotheses simultaneously and weights them according to their similarity to the target model. As similarity measure between two color distributions the popular Bhattacharyya coefficient is applied. In order to update the target model to slowly varying image conditions, frames where the object is occluded or too noisy must be discarded.

这是稀疏子空间聚类的源程序，里面有参考文献原文，以及我自己编的一个实现代码，有需要可以调用程序自己修改的。(This is a sparse subspace clustering of source program, which has a reference text, and I made up a code, there is a need to call the program to modify their own. The input is: English C3s6)