pso-pid

rayleigh信道的仿真，matlab的(Rayleigh channel simulation, matlab)

利用投资者情绪指标预判下个月的股指走势，如果指标较高则做多，反之则做空(The use of investor sentiment indicators to predict stock trends next month, if the indicator is to do more higher, and vice versa short)

基于MATLAB的重力固体潮理论值计算,适合初学者学习的。(The theoretical calculation of the tidal gravity based on MATLAB, suitable for beginners to learn.)

基于混沌加密的离散小波变换域数字图像水印算法的研究的期刊论文(DWT Based on Chaotic Encryption Algorithm for Digital Image Watermarking domain of research journal articles)

建立matlab与kingview之间的dde连接(Finsh the DDE connection between matlab and kingview)

几个关于有限元分析的代码，《结构分析的有限元法与matlab编程》-徐荣桥(Several finite element analysis on the code, " Structural Analysis of the finite element method and matlab programming" - Xu Rong Bridge)

switching median filter for removing impulse noise

提取音频的mfcc特征值 是一个matlab函数 直接调用即可(Extract audio mfcc characteristic value is a matlab function can be called directly)

《MATLAB神经网络30个案例分析》中的第7个例子，案例7 RBF网络的回归-非线性函数回归的实现。希望对大家有一定的帮助！ (The MATLAB neural network analysis of 30 cases of example, 7 cases of RBF network return- the return of nonlinear function implementation. Hope to have certain help to everybody! )

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.)