bayesthresholding

基于切比雪夫最佳一致逼近设计了低通、高通、带通、带阻线性相位FIR滤波器(Based cut Chebyshev best uniform approximation to design low-pass, high pass, band pass, band-stop linear-phase FIR filter)

采用DelayTime_MutualInformation互信息法计算混沌时间序列的delaytime的Matlab原程序(used DelayTime_MutualInformation mutual information calculation mixed turbid time series delaytime Matlab original program)

层次分析的一些源代码，层次分析法是将决策总是有关的元素分解成目标、准则、方案等层次，在此基础之上进行定性和定量分析的决策方法。(Some of the source code level analysis, AHP is always the element of decision-making down into objectives, guidelines, programs and other levels, in this based on qualitative and quantitative analysis of the decision-making methods.)

Face Recognition Based on Overlapping DCT

胡广书源代码，《现代信号处理》比较实用，总体不错(Hu Guang-shu source code)

提取财务数据并计算经波动调整的衍生指标，同时生成指标序列矩阵(Extract Financial data and calculate the volatility-adjusted derivatives, and generate the time series matrix)

自适应滤波的matlab代码，非常实用，可配合专门的书籍参考(Adaptive filtering matlab code, very practical, with special reference books)

这是一个医学图像处理和传输的标准。在matlab中提供了读写DICOM文件数据的支持 (This is a medical image processing and transmission standards. Provided in the matlab file data read and write DICOM support)

运用matlab工具箱的神经网络遗传算法函数进行极值寻优-非线性函数极值(Matlab neural network using genetic algorithm toolbox function optimization Extreme- Extreme nonlinear function)

This Toolset comprises of the following files: 1) RunTutorial.m Runs and publish in html format the Tutorial.m file. 2) Tutorial.m A quick reference tutorial for the DE_TCR algorithm. 3) DE_TCRparam.m Generates the required parameters to run the DE_TCR algorithm. 4) DE_TCR.m Runs the optimization algorithm. This code implements a version of the DE_TCR algorithm described in: G. Reynoso J. Sanchis X. Blasco Juan M. Herrero. Hybrid DE Algorithm With Adaptive Crossover Operator For Solving Real-World Numerical Optimization Problems. In IEEE Congress on Evolutionary Computation. CEC 2011. (ISBN 978-1-4244-7833-0). New Orleans (USA). June 2011. 5) LocalSearch.m Runs the Local search routine. 6) CostFuntion.m The cost function to optimize