eof-kejian

this document is a project documentation perfomed in matlab

Receiver techniques are described with zero forcing and MMSE

说明：  基于匹配追踪的信号稀疏分解的一种新方法的仿真(Based on matching pursuit signal decomposition A new method for sparse)

极值学习机的配套教程，上传给大家多学习学习吧。(Extremal supporting learning machine tutorial, upload to everyone to learn from it.)

trajectory tracking control of mobile robot

在simulink平台上的基于RBF神经网络的PID算法，适用于simulink仿真中系统的实时自适应控制(PID algorithm based on RBF neural network on Simulink platform is suitable for real-time adaptive control of system in Simulink simulation)

自适应算法,根据空域相邻块的运动水平,自适应地选择搜索策略,对于小运动块,充分利用中心偏置特性提高算法速度,对大运动块则利用多候选值算法力求得到真实的全局最小值,以确保对各种不同的图像序列都有较高的搜索速度和准确度(Adaptive algorithm, in accordance with the airspace adjacent to the level of block movement, adaptive search strategy to choose, for a small movement blocks, take full advantage of center-biased characteristics of algorithms improve the speed of movement of large pieces of the algorithm using multi-candidate seeks to be the true value of the overall situation minimum, to ensure a variety of image sequences have a high search speed and accuracy)

GMSK调制 实现了毕业设计要求的GMSK的基本功能 其中包括simulink建模(GMSK modulation to achieve the design requirements of the graduation of the basic functions of GMSK including simulink modeling)

内含Newtonback.m，Newtonforward.m文件，牛顿插值法，向前向后插值。(Intron Newtonback.m, Newtonforward.m documents, Newton)

gaussprocess, gaussian processing for montecarlo