fuipao

livre en arabe explique application du matlab

通过差值方法填补matlab变量中的NAN值，针对二维以内的变量，变量中不能有整行或整列的NAN值(Fill NAN value in matlab variables by the difference method, for less than two-dimensional variables, variables can not have an entire row or column values ​ ​ of NAN)

利用免疫演算法的特性去模擬tsp的問題加以求解路徑的最佳化(The use of immune algorithms to simulate the characteristics of problem solving tsp path optimization)

matlab伺服仿真 simulink 伺服模型山东省地方(Servo Servo matlab simulink simulation model of Shandong Province)

医学图像经典预处理，matlab文件，可直接编译(Classic pre-medical images, matlab file)

kalman滤波跟踪系统的源代码，初学者必看(kalman filter tracking system, source code, beginners must see)

自己编写的六自由度方程的simulink程序(I have written six degrees of freedom equations simulink program)

Klaas Gadeyne, a Ph.D. student in the Mechanical Engineering Robotics Research Group at K.U.Leuven, has developed a C++ Bayesian Filtering Library that includes software for Sequential Monte Carlo methods, Kalman filters, particle filters, etc. (Klaas Gadeyne. a Ph.D. student in the Mechanical Engineering R obotics Research Group at K. U. Leuven, C has developed a Bayesian Filtering Library th at includes software for Sequential Monte Carl o methods, Kalman filters, particle filters, etc..)

《机器人控制系统的设计与Matlab仿真》该书配套的第三章源程序(Design and Matlab simulation of the robot control system )

智能天线技术是第三代移动通信系统的关键技术之一，也是国内外热门的研究课题。由于无线移动通信的信道传输环境具有复杂性和不确定性，存在多径衰落和时延扩展，因此造成了符号间串扰、同信道干扰、多址干扰等，这些干扰降低了链路性能和系统容量，智能天线技术是解决以上问题的方法之一。 本文首先阐述了智能天线和白适应波束形成的基本理论，然后对自适应算法进行了研究。对一些基本的自适应算法最小均方算法、恒模算法及递推最小均方算法进行了分析讨论，用计算机仿真的结果论证了算法的性能。针对相干干扰介绍了空间平滑技术，对传统的相干干扰抑制方法-空间平滑法进行了分析，采用改进算法有效降低了空间平滑算法的运算量。对信号波达方向(DOA)的估计是智能天线研究的另一关键问题。第四章在介绍了阵列信号处理方法的基础上，先简单介绍了Bartlett、Capon、MUSIC等空间谱估计算法，分析了信源数目过估计与欠估计情况下的MUSIC算法性能，提出一种改进算法，在信源数目有误差的情况下该算法的性能良好。第五章针对多径干扰环境，在分析MMUSIC算法的基础上，本文提出了基于低秩矩阵逼近法的改进MUSIC算法(In this paper, firstly, the author illustrates the principles of smart antenna and adaptive beam forming, and then introduces some typical adaptive algorithms, the LMS ,CMA and RLS algorithms are analyzed and discussed and simulate them in the computer to prove their capability. but they have the disadvantage of high complexity, so they are not fit for practice. The paper analyses the conventional method rejecting spatial smoothing coherent interfering signals, which is spatial smoothing technique)