OFDM2

本论文的主要内容包含以下几个方面: 首先，论述了图像融合技术的基本理论、现状和方法，并对多聚焦图像融合 算法及融合结果的评价方法做了分类。 其次，论述了小波理论及其图像的小波分解和重构，研究了小波分解层数及 小波基函数的选择对多聚焦图像融合效果的影响，并给出了在多聚焦图像融合算 法中最佳小波分解层数和小波基函数的选取 再次，研究了基十小波变换的多聚焦图像融合方法，并提出了改进后的基十 小波变换区域对比度的多聚焦图像融合方法，并利用Matlab工具进行算法进行了 仿真实验 最后，总结本论文的研究成果和不足，并指出发展方向。(The following main parts are included. Firstly, this paper discussed the basic theory, present state and means of image fusion technology, classified multi-focus image fusion algorithm and evaluation means of image fusion consequences. Secondly, this paper discussed the wavelet theory and the wavelet decomposition and reconstruction of image, studied the effects on selection of wavelet basis function and wavelet decomposition level to multi-focus image fusion, at last the best choices are proposed. Thirdly, a new method: regional contras of wavelet transformation are proposed for multi-focus image fusion based on wavelet transformation and Matlab is employed to simulation algorithm Finally, this paper summarized the research achievement and insufficient of this paper and pointed out development direction. )

对风电功率的预测 时间序列预测 卡尔曼滤波预测 (Prediction of wind power time series prediction Kalman filter prediction)

多视点几何学中从P中提取出K,R例如P = K*R*[eye(3) -t]以及从两个相机矩阵得到单应矩阵(Multiview geometry extracted from the P K, R such as P = K* R* [eye (3)-t])

ofdm reduce papr in pts

ansys matlab 联合优化，进行 传递txt，进行告知优化应力结果，以便传递数据(Joint optimization, transfer txt, inform optimization stress results, so as to transfer data)

说明：  一个基于MATLAB的生物芯片数据分析包(MATLAB-based data analysis of the bio-chip package)

IEEE 802.11ac 协议草案2012年5月版本。正式版本大概是2014年初才能确定。(IEEE 802.11ac draft version of the agreement in May 2012.)

sparsity preserving projections (SPP)方法，根据论文《sparsity preserving projections with applications to face recognition》使用AR人脸数据库(sparsity preserving projections (SPP)method, according to the paper "sparsity preserving projections with applications to face recognition", using the AR face image database)

基于MMSE准则的盲自适应多用户检测算法(Based on MMSE criterion for blind adaptive multiuser detection algorithm)

说明：  In this file, we have to find how the images are imported and how it will be import and to extract the frames. Next to add the gray scale representation and color images. Finally to detect the RGB color image.