matlab

FuzzyClustering 及数据分析工具箱及示例程序,数据分析工具箱及示例程序,(FuzzyClustering toolbox and data analysis procedures and practices, data analysis toolbox and sample program,)

MatLab Files for GLOBAL POSITIONING SYSTEMS, INERTIAL NAVIGATION, AND INTEGRATION

空间普估计之music算法与信噪比之间的关系(Space and general music algorithm estimates the relationship between SNR)

4 State trellis for Mimo using viterbi hard decoding

在一个移动通信系统中，发射信号是一个未调制的音频x(t)=cos(2πft)，其中f=f0+fi。设标称载波为f0=1GHz，并设fi =512Hz。假定移动用户在一个繁忙的高速公路上距离基站l公里处的地方，从开始从每小时60公里的速度开始，其速度（在0.01秒的时间间隔内测量）以1/2的概率随机的增加或减少1/10公里每小时。试仿真移动用户在这2s的时间间隔内所接收到的信号(及其频谱)。接收信号可以表示为： y(t)=a(t)Cos[2π(fo+f1)(t-△t)] 式中 △(t)=d(t)/c 且 a(t)=k/d2(t) 在上面的表达式中d(t)是在t时刻基站与移动用户的距离，c是光速，△(t)是传播延迟，而a(t)是信号在t时刻的衰减，并假设在这2s内a(t)是一个常数。利用复低通等效模型来进行仿真。(In a mobile communication system, the transmitted signal is an unmodulated audio x (t) = cos (2πft), where f = f0+ fi. Let nominal carrier of f0 = 1GHz, and set fi = 512Hz. Assume that mobile users on a busy motorway station l kilometers place, starting the beginning of 60 kilometers per hour, the speed (measured in 0.01 second interval) to increase the probability of a random 1/2 or reducing 1/10 km/h. Simulation test signal which the mobile subscriber in the 2s time intervals of the received (and its spectrum). The received signal can be expressed as: y (t) = a (t) Cos [2π (fo+ f1) (t- △ t)] Where △ (t) = d (t)/c And a (t) = k/d2 (t) In the above expression, d (t) at time t is a base station and a mobile user s distance, c is the speed of light, △ (t) is the propagation delay, and a (t) is the attenuation of the signal at time t, and assuming that 2s within a (t) is a constant. Using complex low-pass equivalent model for emulation.)

说明：  混合整数二次规划(MixedInteger QuadraticProgramming,MIQP)问题最优化问题源代码(source code of MIQP problem)

离散小波变换，包括各层分解，消除了边界效应等问题(DWT，including every layer)

Kalman滤波小程序，可对kalman滤波进行简单的演示说明。(Kalman filtering of small procedures, can be simple kalman filtering demo description.)

用MATLAB实现Expert_PID控制的例程，代码清晰，希望对大家有些帮助。谢谢(Expert_PID used to achieve control of MATLAB routines, the code clear, I hope all of you some help. Thanks)

说明：  QR分解的MATLAB程序，可用于MIMO智能天线等(QR decomposition)