AR0134_DS_B

Io out put current of pv modul for grid connected pv system

AQUILA is a MATLAB toolbox for the one- or twodimensional simulation of ％the electronic properties of GaAs/AlGaAs semiconductor ％nanostructures. (AQUILA is a MATLAB toolbox for the one- or tw odimensional simulation of the electronic pr% operties of GaAs/AlGaAs semiconductor% nanos tructures.)

使用快速傅里叶变换fft实现带有高斯白噪声的频谱估计(Using fast Fourier transform fft achieve spectrum estimation with Gaussian white noise)

基于拉普拉斯塔型分解图像融合算法,采用matlab实现,算法用三层分解(Lapulashida-based decomposition algorithm for image fusion using Matlab realized, with the three-tier decomposition algorithm)

本文针对SLAM算法中数据关联过程，提出了一种简单易行的改进方法，将欧氏距离与马氏距离结合用于数据关联。算法不必计算地图所有特征与所有量测之间的马氏距离，而是首先利用相对简单的欧氏距离计算缩小了待关联特征的搜寻范围。利用人工合成数据的仿真结果表明，改进后的数据关联方法可以大幅减少系统计算量，提高关联效率，且不会造成错误关联的增加。(This article SLAM algorithm for data association process, a simple method to Euclidean distance combined with the Mahalanobis distance for data association. Algorithms do not have to calculate all the characteristics of the map with all measurements between the Mahalanobis distance, but the first to use a relatively simple calculation of Euclidean distance to be associated characteristics of narrowing the search. The use of synthetic data simulation results show that the improved methods of data association can significantly reduce the system to calculate the volume and improve the efficiency of association, and will not lead to errors associated with an increase.)

切比雪夫滤波器，可以很好的实现滤波功能。(Chebyshev filter, can achieve very good filtering.)

matlab仿真模型，可以当作毕业设计内容使用。32变换模型(matlab simulation model can be used as a graduation project content. 32 transformation model)

The paper concludes with an implementation of linear prediction using two different types of signal. It is hoped that the balance between theory and practical will allow the reader for easy assimilation of this technique

filter design sigma delta filter(filter design sigma delta filter)

在源信号和传输信道未知情况下，只利用接收天线的观测数据抽取源信号，称为盲信号分离.盲信号分离不仅是信号处理界、而且也是神经网络界的研究热点课题，在无线数据通信、雷达、图像、语音、医学以及地震信号处理等领域都具有广阔的应用前景.采用自然梯度法和分阶段学习法。(The source signal and transmission channel is unknown circumstances, using only observational data extraction receiving antenna source signal, known as blind signal separation. Blind signal separation is not only the signal processing community, but also a neural network hot topic in research circles, in the wireless data communications , radar images, audio, medical and seismic signal processing and other fields have broad application prospects. and the phases using the natural gradient learning method.)