zhongjiprogramming

msk的malab仿真,msk的调制解调程序(MSK s malab simulation, msk modem procedures)

2D Histrogram Two Dimention Histogram function

本文件主要内容是以及倒立摆模糊控制，以小车为模型建立的，包含模糊控制规则，S函数，和simulink模型(The main contents of this paper is about the fuzzy control of inverted pendulum, the vehicle model, including fuzzy control rules, the S function, and Simulink model)

serial to parallel converter

说明：  介绍SIMULINK的电子文档，很实用，内容很详细，对于利用SIMULINK搭建模型仿真的同学很实用(Introduction SIMULINK electronic documents, it is practical, the content is very detailed model for simulation using SIMULINK to build the students very practical)

功能化一个输入向量利用Savitzky-格雷平滑滤波器的基础上一定程度的多项式的长度和移动窗口(The function smooths a input vector using Savitzky-Golay smoothing filter based on the degree of polynomial and the length of moving windows )

用于认知无线电能量检测及频谱感知的matlab程序(Used for cognitive radio energy spectrum of detection and perception of matlab)

matlab函数查询，非常齐全，集合了多本书，全中文(the matlab function and very complete collection of multi-book, the whole Chinese)

Tous les graphiques doivent ˆ etre annot´ es: titres, labels des axes et l´ egendes. Les scripts doivent ˆ etre ins´ er´ es dans le compte-rendu aupr`es des graphiques associ´ es.

包括kf，ekf，pf，upf可以自己定制模型参数，完成滤波(ReBEL currently contains most of the following functional units which can be used for state-, parameter- and joint-estimation: Kalman filter Extended Kalman filter Sigma-Point Kalman filters (SPKF) Unscented Kalman filter (UKF) Central difference Kalman filter (CDKF) Square-root SPKFs Gaussian mixture SPKFs Iterated SPKF SPKF smoothers Particle filters Generic SIR particle filter Gaussian sum particle filter Sigma-point particle filter Gaussian mixture sigma-point particle filter Rao-Blackwellized particle filters The italicized algorithms above are not fully functional yet (or included in the current release), but will be in the next or future releases. The code is designed to be as general, modular and extensible as possible, while at the same time trying to be as computationally efficient as possible. It has been tested with Matlab 7.2 (R2006a). )