choas

matlab经典教程 内容为5个ppt文件 对于初学者不错(matlab program elements for the classic 5 ppt file good for beginners)

this is the basic ofdm simulation of an ofdm signal

utilities for Kalman filtering, unscented filtering, particle filtering, and miscillaneous other things. This code is stable and fast. (utilities for Kalman filtering, unscented filtering, particle filtering, miscillaneous and other things. This code is st able and fast.)

UN AUTRE MONDE DE LA VISION.............MATLAB..................SEGMENTATION

研究多进制脉冲位置调制和关闭键控在直接检测光无线通信系统中存在的大气影响，比较了ook与PPM调制方式的区别。(M-ary pulse position modulation on and off keying atmospheric effects in the direct detection of optical wireless communication systems, compare the difference of the ook PPM modulation mode.)

股票预测，用于大家的股票预测，程序很精良，是大家的不错的一个选择。呵呵(Stock forecast, used for everyone s stock forecast, and the program is very excellent, is everyone s a good choice. Ha ha )

采用matlab编程的立体程序，调试可用，里面有大量的实验图，可以自己实验(The three-dimensional program using matlab programming, debugging available, there are a large number of experimental diagram, can experiment)

计算地球物理中重力梯度的数值 给出相应可改变模型的代码(The calculation of the gravity gradient in Geophysics Give the code for the corresponding change model)

说明：  读取sac数据子函数,再处理中直接调用该函数即可达到读取目的。(the code of read .sac files.)

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)