LMS_P72

Difference method of MATLAB

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

Signal processing algorithms to extract heart beats in recordings of heart muscle activity

Powell是一种非常稳健的非线性最优化算法（当然，整个求解过程中需要一些辅助的技巧，否则可能达不到“稳健”标准）。(Powell is very usefull )

光纤陀螺误差建模与分析，北航惯性导航基础课程大作业，含matlab程序代码(FOG error modeling and analysis, Northern-based inertial navigation operations courses, including matlab code)

在matlab环境下编写的简易计算器，能够进行四则运算和正弦余弦，x的y次方运算，对数运算等相关运算(In the matlab environment prepare a simple calculator that can perform arithmetic calculations and sine cosine, x of y th arithmetic, logarithmic arithmetic operations and other relevant)

利用平面波展开的方法计算一维光子晶体能带(The plane wave expansion method is used to calculate one-dimensional photonic crystals bandgap)

PMSM矢量控制系统 id=0 磁场定向控制(pmsm Vector control system)

ARCOBJECTs开发指南,实例的资源文件(ARCOBJECTs Development Guide, a resource document for example)

格子Boltzmann方法，D2Q9模型，模拟多孔介质流动(Lattice Boltzmann method, D2Q9 model to simulate the flow in porous media)