low_pass_filter

matlab生成随机数，uinform产生一组[0，1]分布的随机数，riddling产生一个N(0,1)正态分布随机数，normal产生n个N(a,b)正态分布随机数。(Use matlab to generate random numbers, uinform produce a set of [0,1] random number distribution, riddling produce a N (0,1) normally distributed random numbers, normal generate n N (a, b) normally distributed random numbers.)

function of ant colony search algorithm in easy method

3D DCT function in wavelet

turbo码的C程序，许多行前面都有些序号 请自己更正以后运行(turbo code of C procedures, many firms are some of the serial number in front of your own running after correction)

This software release consists of an implementation of the algorithm described in the paper: H. R. Sheikh, A. C. Bovik, and G. de Veciana, "An Information Fidelity Criterion for Image Quality Assessment Using Natural Scene Statistics," IEEE Transactios on Image Processing, in publication, May 2005.

Bayesian Object Detection in Dynamic Scenes

心电信号去基线漂移，使用小波分解法提取基漂信号，还有小波包去噪(ECG baseline removal, and wavelet packet de-noising)

说明：  用MA TLAB 语言及MA TLAB 语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比 较灵活、编程效率高等特点. 本文对遗传算法和基于MA TLAB 的遗传算法优化工具箱(GAO T ) 作了简要的介 绍、分析了优化工具函数, 并结合非线性、多峰值函数问题的优化实例, 说明了遗传算法是一种具有良好的全局 寻优性能的优化方法.(MA TLAB with language and language of the MA TLAB optimization toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency. In this paper, genetic algorithm and MA TLAB based on genetic algorithm optimization toolbox (GAO T ) gave a brief introduction, an analysis of function optimization tool, combined with non-linear, multimodal function optimization problem examples to illustrate the genetic algorithm is a good global optimization method to optimize performance.)

说明：  实现卡尔曼滤波，可以看出，滤波过程是以不断地“预测—修正”的递推方式进行计算，先进行预测值计算，再根据观测值得到的新信息和kalman 增益（加权项），对预测值进行修正。由滤波值可以得到预测，又由预测可以得到滤波，其滤波和预测相互作用，并不要求存储任何观测数据，可以进行实时处理。(Kalman filtering, can be seen, the filtering process is constantly &quot forecast- Fixed&quot recursive manner calculated to predict the value of the first, and then according to the new information should be observed and the kalman gain (weighted items), on predictive value of the amendment. Value can be predicted by the filter, but also can be filtered by the forecast, and its interaction filtering and prediction, does not require the storage of any observational data, real-time processing.)

说明：  双馈电机数学模型，基于simulink，如果需要可以提供S函数的模型(Doubly-fed machine mathematical model, based on simulink, if necessary can provide a model S function)