sensorless_MRAS

这个向导中包含教你如何用GAMBIT来创建和网格各种几何体的一步步例子。每个例子图解说明了关于GAMBIT几何体创建和网格产生的至少一个新概念。(This guide includes teaching you how to create and mesh a variety of GAMBIT geometry step by step examples. Each case illustrates the geometry on the GAMBIT mesh to create and produce at least a new concept.)

matlab psat 软件安装包和说明书(the matlab psat software installation package and instructions)

Basic program to print a text or a character for the basic learners..

扩频通信的一篇好论文，文件比较齐全比较齐全(A spread spectrum communication papers, documents a relatively complete and relatively complete)

该程序在matlab环境下运行可完成QPSK的调制解调过程，可显示眼图以及滤波后的信号波形。(err)

几篇关于空时编码与cpm调制相结合的文章，非常实用，适合初学者(Several articles on the space-time coding and modulation combination cpm article, very useful for beginners)

一种改进的混沌算法，结合粒子群进化进行改进(An improved chaotic particle algorithm to improve the diversity of PSO)

解调程序，用于动态信号分析学习，丁康老师的(Demodulation process for dynamic signal analysis study)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

关于智能优化方法的一本很不错的参考书 可以参考(good book)