VTRM_image

基于MATLAB 图像融合 空间域加权平均 (Weighted average spatial domain image fusion)

说明：  神经网络算法，适合适合科研人员和学生进行优化和调参。新手理解鱼群算法，希望大家可以认真学习其中的道理。(Neural network algorithm is suitable for scientific researchers and students to optimize and participate. Novice understands Fish Swarm Algorithms, I hope you can seriously learn the truth.)

很炫的抽屉式侧边栏导航效果，精选ios编程学习源码，很好的参考资料。(Drawer type sidebar navigation effect of cool, selection of learning IOS programming source code, a good reference.)

说明：  提取opencart产品名称里的属性信息到目录属性里，实现opencart的目录筛选功能。具体属性需添加到文件内，具体看文件说明。(Extraction of Opencart product name in the attribute information to the directory attributes, implementation of Opencart directory screening function. The specific attributes need to add to a file, see the specific documentation. )

采用四参数生成法自动生成多孔介质(二维)，优化了出现独立单个节点、实体内部出现孔洞的问题(Four-parameter generation method automatically generates a porous medium, optimize the emergence of an independent single node, hole problems arise internal entities(2D))

大型风电场用储能装置容量的优化配置,储能系统的输出功率限制和容量限制对平滑结果均有明显的影响(Optimization Configuration for Capacity of Energy Storage System in Large-scale Wind Farm)

《全面详解LTE：MATLAB建模、仿真与实现》是本LTE与MATLAB完美结合的图书，以实用、高效、直观的方式详解LTE，学习4G技术。详解LTE物理层及相关协议，包含MATLAB源代码，从事LTE领域，你会需要《全面详解LTE：MATLAB建模、仿真与实现》。( Full Detailed LTE: MATLAB modeling, simulation and implementation is the perfect combination of LTE and MATLAB books, practical, efficient and intuitive way to explain LTE, 4G technology learning. Detailed LTE physical layer and related protocols, including MATLAB source code, engaged in the field of LTE, you ll need to fully explain LTE: MATLAB modeling, simulation and implementation. )

最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测(Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction)

提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图 像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别 程度。(A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognition. This method between the two images by calculating the reconstructed image block average error, calculated using the linear discriminant analysis after dimension reduction of two images Euclidean distance, the integration calculation of reconstruction error and the Euclidean distance difference between these two images level.)

this is the simulation of the relaying technique in all the channels using the amplify and forward and decode and forward protocols. it is also in the channels such as AWGN and also in the raileigh channels.the file also consists of the output graphs of all the simulations which are present in it.