神经网络

Tool for compress and decompress for image, using differential coding prediction

This file contains simulink file for solar panal MPPT algorithm using P&O method.

基于BP神经网络的盲均衡器设计， 采用BP神经网络进行盲均衡 残差小，误码率低(blind equalizationo based n bp neural networks)

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.)

模式识别中的bayes判别分析算法，相参脉冲串复调制信号，分数阶傅里叶变换计算方面,阵列信号处理的高分辨率估计，主同步信号PSS在时域上的相关仿真，添加噪声处理。

Experiments with varying Kalman Gain for a Simple Noisy measurements

流形学习是一种新的无监督机器学习方法，局部线形嵌入（Locally Linear Embedding，LLE）发现嵌入在高维数据中的低维流形，流形学习算法,MATLAB程序(manifold learning)

分数阶傅里叶集成算法，matlab语言，实测，好用！(integrated algorithm about Frft, matlab code, have been tested, the results are right.)

Algorithm as described in "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples"

雷达C&I干扰信号仿真Matlab源码，包括时域波形及其匹配滤波接收中所呈现的干扰效果(the Matlab source code for radar C&I jamming signal)