wanzhengchengxu

这个是我改进了的语音处理里面的端点检测源程序，可以直接编译运行，效果比较好(This is my improved speech endpoint detection treatment inside source, the compiler can be run directly, the effect is better)

fm modulation & demodulation code for matlab

matlab的30个人工智能例程 案例 网课对应资源，涉及遗传算法，模拟退火蚁群等算法(v30 cases of artificial intelligence routines in MATLAB Network course corresponding resources, involving genetic algorithm, simulated annealing ant colony algorithm, etc.)

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)

用于结构在动力荷载作用下的时程分析,地震荷载，随即荷载均可，采用newmark方法(For structural time history analysis under dynamic loads, seismic loading, then the load can be, using the newmark method)

matlab script to calculate sun position

基于稀疏表示的正交最小二乘法，使用的语言是matlab，应用比较广阔，设计信号处理中的信号回归，图像处理的压缩等。(Sparse representation based on orthogonal least squares method, the language used is matlab, relatively broad application, design signal processing signal return, image processing, compression and so on.)

AI to power system

Beginneing C++ 第五部第五章(Beginneing C++ Part V of Chapter V)

说明：  小脑模型的非线性模型识别小脑模型的非线性模型识别(CMAC Identification for nonlinear model)