离散灰色模型的计算程序 DGM

提取脉搏波后，通过此小波变换的处理，达到去除基线的目的(After the pulse wave extracted by wavelet transform of this treatment, to remove the purpose of the baseline)

bus system data for matlab code

m文件批处理转p文件，pcode批处理，直接在matlab中运行，选择含有m文件的文件夹，点确定即可。生成的p文件与P_transfer.m在同一目录下。(batch file used to transfer m file to p file, pcode batch)

The quantum particle swarm optimization (QPSO) applies the quantum computing theory to particle swarm optimization, and thus has the advantages of both quantum computing theory and particle swarm optimization, so it has a faster convergence rate and a more accurate convergence value.

北京交通大学侯忠生教授的无模型自适应控制的实际应用和理论研究应用，详细介绍了无模型自适应控制的主要应用领域。附录为无模型自适应控制书中的MATLAB程序代码，运行可以复现书中的仿真图。(Professor Hou Zhongsheng of Beijing Jiaotong University introduced the practical application and theoretical research application of model-free adaptive control, and introduced the main application fields of model-free adaptive control in detail. Appendix is the MATLAB program code in the model-free adaptive control book, which can be run to reproduce the simulation diagram in the book.)

neural networkgfgfx

用c++实现的对游程编码的译码以及编码操作。对信息论一块的游程编码的理解具有一定参考价值。(C++ with the realization of run length coding decoding and encoding operation. For information on the run length encoding a piece of understanding has a certain reference value.)

基于matlab的zoeppritz反演程序,可用于AVO反演( This function computes the particle displacement reflection and transmission coefficients (the relative displacement amplitudes) for a solid-solid interface, a liquid-solid interface, a solid-liquid interface, and a liquid-liquid interface.)

鉴于LCD方法存在的问题，本文提出了一种基于互相关匹配端点延拓局部特征尺度分解（Cross-correlation matching endpoint Extension Local Characteristic scale Decomposition，简称CELCD），由于LCD分解原理是依据信号的局部极值点信息不断进行筛分信号，在信号分解时需要先确定信号的局部极值点，而信号的两个端点可能不是极值点，因此在信号两端点就会出现虚假成分，且该现象随着分解的进行向数据内部扩散，产生端点效应，导致分解结果失真。而CELCD方法的本质在于探索待分解信号前后端的数据规律，延长波形，使得端点效应不出现在原始信号分解的片段上，从而消除端点效应。(Given the LCD method has a problem, this paper presents a cross-correlation based on local feature matching endpoint extension scale decomposition (Cross-correlation matching endpoint Extension Local Characteristic scale Decomposition, referred CELCD), since the LCD decomposition principle is based on the signal of local optima ongoing screening point information signal, when the signal decomposition needed to determine local extreme point of the signal, and the two endpoints signals may not be extreme point, so the two end points of the signal will be fraudulent, and that the phenomenon with decomposition of the data in the internal diffusion, resulting end effect, leading to decomposition distortion. The essence of the method is to explore CELCD data signal to be decomposed before and after the end of the law, to extend the waveform, so the end effect does not appear on the original signal decomposition fragments now to eliminate the end effect.)

Neural network Xor example