Desktop

有关多相滤波的matlab的程序实现，是一个很高的学习例程，有助于对matlab和多相滤波的学习(On the polyphase filter matlab realize the procedure is a very high learning routines, help to matlab and polyphase filter learning)

matlab关于多天线相关矩阵的子程序，调用输入为天线间距，到达角度，和角度扩展(matlab on multi-antenna correlation matrix of the subroutine, call input antenna spacing, arrival angle, and angle expansion)

MATLAB gui经典设计方案MATLAB gui classic design(MATLAB gui classic design MATLAB gui classic design)

matlab snopt 学生版,求解大规模非线性规划问题(matlab snopt Student Edition, for solving large-scale nonlinear programming problem)

matlab基础教程，教你快速使用matlab软件和熟悉matlab语言。(matlab basic tutorial to teach you quickly matlab software and familiar matlab language.)

一般约束优化问题的二次规划子问题求解算法程序(general optimal problem(including equ and nonequ constrains: SQP algorithm)

一个小的matlab程序利用RBFNN进行函数拟合(A small matlab program using RBFNN for function fitting)

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)

función para Reducir la escala de gris

基于最近邻算法的股票价格预测matlab代码，很不错的(Nearest neighbor algorithm based on stock price prediction matlab code, very good)