signal

ＡＲＩＭＡ　matlab实现　，　对时间序列进行预测分析(ARIMA matlab realize, prediction of time series analysis)

Extended Kalman filter for trajectory prediction

ldpc码在AWGN信道下的性能仿真。包括geth.m,getG.m,H2G.m,decode.m,BER.m按传统的编码方案编码，生成H矩阵后转化为G矩阵，编码后送入高斯信道。仿真得到BER性能(ldpc codes in the AWGN channel performance simulation. Including geth.m, getG.m, H2G.m, decode.m, BER.m coded according to the traditional encoding scheme to generate H matrix is transformed into G matrix encoded into the Gaussian channel. Simulation, the BER performance)

partical swarm optimization algorithm

适用于matlab 的图形旋转代码，可自定义旋转角度，使用邻近插值不全图像(Applicable to matlab graphical rotation code, the rotation angle can be customized using the neighbor interpolation incomplete picture)

说明：  本章的内容更深入MATLAB可视化功能的内核。编写本章的目的有两个：一，使读者更深入地理解高层绘图指令，从而可绘制出更精细更生动更个性的图形；二，使读者能利用低层图形指令和图形对象属性开发专用绘图函数(This chapter more in-depth visualization of the core MATLAB. The purpose of the preparation of this chapter, there are two: First, make readers more in-depth understanding of high-level graphics commands, which can draw out the finer more vivid and personalized graphics 2, so that readers can use low-level graphics commands and graphics object properties developed special drawing functions)

混合微粒群算法，很好很强大，欢迎交流使用(Hybrid particle swarm algorithm, very good very strong, welcome to exchange used)

摘要 本文提出了一种新的基于极大似然法的椒盐噪声滤波算法。在传统BP 算法中引入 了极大似然估计，在训练样本时能够在考虑网络逼近行为的同时对噪声分布进行估计。而且 针对椒盐噪声模型构造了新的鲁棒误差函数，从而使算法本身的抗干扰性增强。实验结果表 明了该算法与传统BP 算法相比具有更好的滤波性能。(Abstract This paper presents a new maximum likelihood method based on impulse noise filter. In the traditional BP algorithm, the introduction of the maximum likelihood estimation, the training samples can also be considered acts of the network approach to estimate the noise distribution. Salt and pepper noise and model construction for a new robust error function, so that the enhanced anti-jamming algorithm itself. Experimental results show that the algorithm compared with the traditional BP algorithm has better filtering performance.)

simple sine wave generater. simulink learning block diagram

PHOTOVOLTAIC MODELISATION WITH SIMULINK