jlfx

JKM model for MatLab

它是用matlab语言编写的数字调音台,是一个仿真源程序(It is the language used matlab digital mixing consoles, is a simulation source)

介绍MATLAB中FFT的使用方法，适用于学习MATLAB在信息处理中的运用。(Introduced the MATLAB FFT in use, applies to the use of learning of MATLAB in information processing.)

《概率论与数理统计》优秀学习资料，工科数学基础(" Probability and Statistics" excellent learning materials, engineering mathematics)

matlab基本实验程序，并行计算编程基本程序(matlab basic experimental procedures, the basic procedures for programming parallel computing)

SPM是基于MATLAB的处理核磁数据的软件(SPM is based on NMR data processing MATLAB software)

本程序是一个数据分类的程序，首先使用KL变换对数据进行降维和去噪，然后用BP神经网络对预处理过后的数据进行分类，并且留有部分的测试集(This program is a data classification program, the first to use KL transform data dimensionality reduction and de-noising, then BP neural network to classify the data after preprocessing, and left part of the test set)

双二进制信号是一种信号体制利用码间干扰作为一种控制方式而不是消除码间干扰(Duobinary signaling is a three level signaling scheme that uses intersymbol interference in a controlled way instead of trying to eliminate it. )

完美仿真MATLAB瑞利信道的相位包络概率密度····(Perfect simulation of MATLAB Rayleigh channel, the phase envelope probability density)

统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法， 但它是针对单传感嚣对多目标跟踪的情况下使用，不能直接用于多传感器对多目标的跟踪。针对这 一问题，文中提出了一种适用于多传感器多目标跟踪的JPDA算法，它以极大似然估计完成对来自 多传感器的测量集合进行同源最优分划，然后采用JPDA方法对多目标进行跟踪。经过理论分析和 仿真试验，证明了该方法能有效地进行多传感器多目标的跟踪，且具有算法简单、跟踪精度高、附 加的计算量小等优点。(Abstract)m JointProbabilisticDataAssociation(JPDA)solves single sensormultitatgcttrackingin ClUtter,butitc锄not bc used directly in mnitisensor multitarget tracking．喇8 paper presents a method to implement multi—sensor multi—target tracking by combining maximum likelihood estimation wim JPDA The maximum Iikelihood estimation is used to classify the same source observations at one time into the same set,and血en JPDA implements multi—target uacking after the position fitsed．The theory analysis and computer simulation show that this algorithm may achieve multi—sensor multi—target tracking perfectly with low calculation load added and higher precision 。)