compressive-sensing

设计的一种带通滤波器 具有很好的滤效果。(Design of a bandpass filter with good filtering effect.)

在MATLAB生成的FIG中进行局部放大，(FIG generated in MATLAB in the enlarged)

MIMO OFDM 系统的性能仿真 很好用(The performance of MIMO OFDM system simulation is in good condition)

matlab编程(模糊控制编程、隶属度函数)(matlab programming (Fuzzy control programming, membership function))

在Matlab中实现日期转换，以GUI的形式创建界面。(The date of conversion is implemented in Matlab, a GUI interface to create the form.)

心理声学、头相关传输函数，双耳合成，等等核心函数库(Psychoacoustics, head-related transfer functions, binaural synthesis)

matlab for beginners

kalman filter for state space estimation. descrat time, with Monte Carlo

说明：  球面天文学（岁差、章动）和天体力学（行星星历表）的原始计算公式、算法和程序。matlab编译通过。主要包括：公历/儒略历转换为儒略日，儒略日转换为公历/儒略历，球坐标转换为直角坐标，直角坐标转换为球坐标等38个matlab源代码。压缩文件中有说明。(Spherical Astronomy (precession, nutation) and celestial mechanics (line stars ephemeris) of the original formula, algorithms and procedures. matlab compiler through. Mainly include: Gregorian/Julian calendar converted to Julian day, Julian date is converted to the Gregorian calendar/Julian calendar, the ball coordinates converted to rectangular coordinates, rectangular coordinates is converted to spherical coordinates, such as 38 matlab source code. Compressed file is described.)

说明：  主要对扩展卡尔曼滤波（EKF）、无迹卡尔曼滤波（UKF）及改进无迹卡尔曼滤波（MAUKF）算法进行研究，研究了三种算法的基本原理和各自的特点。其中扩展卡尔曼滤波器是将卡尔曼滤波器局部线性化，其算法简单，计算量小，适用于弱非线性、高斯环境。无迹卡尔曼滤波器是用一系列确定样本来逼近状态的后验概率密度。改进无迹卡尔曼滤波算法在UKF的基础上引入衰减因子。(The thesis focuses on the extended Kalman filter (EKF), unscented Kalman filter (UKF) and the improvement of unscented Kalman filter (MAUKF) algorithm research, researched the basic principles of three algorithms and their characteristics. Extended Kalman filter (EKF) is the local linear Kalman filter, the algorithm and computation are simple in weakly nonlinear and Gaussian environment. Unscented Kalman filter (UKF) is determined using a series of samples to approximate the state posterior probability density. Improved UKF algorithm (MAUKF) is introduced attenuation factor based on the UKF.)