scramble_code(correlation)

Matlab Wireless Communications 应用例程(Routine application of Matlab Wireless Communications)

说明：  基于MATLAB的组合模型 在港口吞吐量预测中的应用 以某港1998--2007年集装箱吞吐量为实测数据，建立其集装箱吞吐量的灰色理论、三次指数平滑、三次多项式 等预测模型，在MATLAB下，对比该港集装箱吞吐量各模型预测拟合值与实际值的差异。分析了差异产生的原因及其单一预 测模型的局限性，提出了港口集装箱吞吐量组合预测法。其预测误差明显低于其它单模型。运用组合预测模型．可以降低误 差。提高预测精度。(A combination of MATLAB-based model in port throughput prediction of a Hong Kong 1998- 2007 container throughput for the measured data, the establishment of its container throughput of the gray theory, the three exponential smoothing, prediction models, such as cubic polynomial in MATLAB, the contrast of the Hong Kong container throughput of fitting the models to predict the value of the difference between the actual value. Analysis of the causes of differences and the limitations of a single prediction model, the combination of port container throughput prediction. Its prediction error was significantly lower than other single model. The use of combination forecasting model. Can reduce the error. Improve the prediction accuracy.)

运用一种基于相位信息的2FSK与MSK的调制识别方法,来实现MSK与普通的2FSK的识别。通过计算机仿真表明,在SNRE10dB的条件下,该方法识别率达到了100 。 (Based 2FSK use and MSK modulation recognition phase information to achieve a common 2FSK MSK and identification. Through computer simulations show that, under SNRE10dB conditions, the recognition rate reached 100 .)

流形学习中的非线性降维方法——等距映射(ISOMAP)算法的MATLAB实现，可以实现高维数据的降维处理，寻找到原始高维数据的特征维数。(ISOMAP is a method which can deal with the high dismensional data and find the low type of orignal data!)

相参脉冲串复调制信号，基于互功率谱的时延估计，预报误差法参数辨识-松弛的思想。( Complex modulation coherent pulse train signal, Based on the time delay estimation of power spectrum, Prediction Error Method for Parameter Identification- the idea of relaxation.)

永磁同步直线电机滑膜控制（SMC）MATLAB仿真模型，可以实现永磁直线电机的速度与位置的跟踪(Permanent magnet synchronous linear motor control (SMC) MATLAB simulation model, can achieve permanent magnet linear motor speed and position tracking)

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 。)

基于时空兴趣点的行为识别期刊论文。本为以时空特征点出发的三维兴趣点检测。(Based on time and space of interest points behavior identification journal articles.This is to start at space-time characteristics of three dimensional interest point detection.)

自适应（LMS）算法在噪声抑制中的应用。在仿真中，原始信号选为sin((0.2*pi)*t), 噪声信号采用标准白噪声，延迟D=1，收敛因子分别是u=0.001和u=0.3(Adaptive (LMS) algorithm in noise suppression application. In the simulation, the original signal is selected sin ((0.2* pi)* t), noise signal using the standard white noise, the delay D = 1, respectively, convergence factor u = 0.001 and u = 0.3)

一些常用的matlab应用程序，非常实用，解决数学中的问题(Some commonly used matlab application, very useful to solve problems in mathematics)