QuadraticQuadElementStiffness

Matlab中求解DDEs,理论和程序段(Matlab in solving DDEs, theories and procedures of paragraph)

this code in used in neural network mlp with back propagation training algorithm and geradian descends algorithm for optimization.in some of this codes I used full propagation algorithm or mlp one layer or two layer with different activation function.this code can be use for prediction or control system by useing neural networks.

小波包分析提取振动信号中的特征频率，是路径规划的实用方法，计算多重分形非趋势波动分析。( Wavelet packet analysis to extract vibration signal characteristic frequency, Is a practical method of path planning, Calculate the multifractal trend fluctuation analysis.)

这是一个永磁同步电机直接转矩控制的例程，包含mdl文件以及m文件，可直接运行(This is a permanent magnet synchronous motor direct torque control routines, including MDL files and M files, can be directly run.)

模拟天气雷达接收到的含有噪声的降水信号，并提出了对收到的离散回波信号进行估计分析的改进的PPP法的仿真程序(The weather radar simulation received containing noises precipitation signal, and proposed to the discrete received echo signal analysis estimates of the improvement of the PPP method simulation program )

本文围绕压缩感知的三个基本问题, 从结构化测量方法、结构化稀疏表示和结构化信号重构三个方面对结构化压缩感知的基本模型和关键技术进行详细的阐述.(In this paper, the basic models and key techniques of structured compressive sensing are introduced in terms of the structured measurements, the structured dictionary representation and the structured signal reconstruction, which correspond to three basic aspects of compressive sensing.)

《MATLAB图像处理宝典》(秦襄培等编著)源代码，北京电子工业出版社2011版(MATLAB Image Processing Collection " (Qin Xiang Pei, eds) source code, Beijing Electronics Industry Press, 2011)

Mixed-Excitation Linear Predictive Coder - MELP codec demonstration

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.)

平均标准偏差，一个计算用的Matlab小程序，希望大家喜欢(The average standard deviation, a calculation using a small Matlab program, I hope everyone likes)