cellular-automata-and-Matlab

基础卡尔曼滤波。附有滤波初始条件，适合初学者(Basic Kalman filter. With filter initial conditions, suitable for beginners)

pegasis protocol for wsn

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.)

用于处理真实SAR回波数据的一套RDA算法程序，经本人完美测试出图过。(a set of RDA program used to deal with Real SAR echo data, which is perfectly tested.)

说明：  信道极化图解，信道在经过极化后，有的性能接近1，有的接近0，保证正确(Channel polarization diagram: after the channel is polarized, some of the performances are close to 1, some are close to 0, ensuring the correctness)

nmikhore man nmidonam in chiye tamom

说明：  计算生物二叉树的matlab具体程序，有需要的来看看啦(Calculation of the biological tree of matlab specific procedures, there is a need to look at the看啦)

将Excel表中的大量数据输入到Matlab中(The large amounts of data in an Excel table input to the Matlab)

lead acid battery managaemnt

粒子群K均值聚类算法matlab源代码供大家学习(Particle Swarm K-means clustering algorithm matlab source code)