matlabcontrol

又一个计算kalman滤波器的matlab程序！(Another calculation kalman filter matlab program!)

采用10阵元的阵元间距为1/2波长的均匀线阵，估计2个不相干的信号源的波打方向。其中样本数为100，S/N分别为10dB，20dB。信号源来自-10°和40°。程序里面包含用MUSIC,RootMUSIC，ESPRIT,MVDR,F-SAPES算法实现的DOA估计(A 10-element array element spacing of 1/2 wavelength of the uniform linear array, it is estimated that two unrelated source wave hit direction. Wherein the number of samples is 100, S/N of 10dB, 20dB, respectively. Source from-10 and 40. DOA estimation program inside contains MUSIC, RootMUSIC, ESPRIT, MVDR, F-SAPES algorithm implementation)

粒子滤波与扩展卡尔曼滤波比较的matlab源程序 (Compared with the EKF and particle filter)

《Multivariable feedback control analysis and design () (2nd Edof electronic source code》一书的电子源代码(Multivariable feedback control analysis and design () (2nd Edof electronic source code)

相干光通信中，偏振解复用的matlab源码，毕业论文用，非常珍贵(Coherent optical communication, polarized solution, the matlab source code reuse graduation thesis to use, very precious )

基于反步法的欠驱动AUV水平面直线航迹跟踪控制(Straight-line trajectory tracking control of underactuated AUV in the horizontal plane based on backstepping)

Data Fusion in Wireless Sensor Networks                

SparseLab is a Matlab software package designed to find sparse solutions to systems of linear equations, particularly underdetermined systems.

这个小程序可以简单的选取回归分析中box-cox变换的lambda值，通过matlab强大的矩阵运算功能可以通过简单比较RSS值的方式来得到lambda，使用时只需要输入实验值矩阵X和Y即可，然后输入minRSS（X，Y）就能简单明了的看到最优变换参数 （这个程序虽然小但是学习回归分析的初学者学习时都会经过这个算法，上载时因为不到1KB所以我又放了个文本格式的）(This little program can select a simple regression analysis of box-cox transformation of lambda values, through the powerful matlab function matrix calculation can be relatively simple way of RSS to get the value of lambda, the use of only need to enter the experimental data matrix X and Y can be , and then enter the minRSS (X, Y) will be able to see the simple optimal transformation parameters)

说明：  这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。 (This is a space-time block coding based on the MIMO_OFDM Communication System Simulation and Design. This system consists of QPSK modulation and demodulation, IFFT modulation, space time coding and decoding, based on training symbols such as communication channel estimation module.)