LLL_Alogorithm

演化计算是基于随即搜索的新算法；它的技术模型源于自然的演化。下面是一个例子，该函数是典型的多峰（震动剧烈）的函数。用的算法是郭涛算法。(Evolutionary Computation is based on the then new search algorithm its technical model derived from natural evolution. Here)

Matlab基本知识，matlab学习入门,希望对大家有用。(this article of Matlab is useful to you .good good study, day day up .Hope you have a good day .)

采用加权网络中节点强度和权重都是幂率分布的模型，高斯白噪声的生成程序，包含了阵列信号处理的常见算法，使用起来非常方便，是国外的成品模型，最小均方误差（MMSE）的算法。

此代码为维纳滤波恢复模糊图像matlab代码，基于matlab Demo改编，注释较详细，适合初学者学习维纳滤波使用(the code is designed for recovering image by Weiner filter,it is benefitial for new user of matlab or new student for Weiner filter)

Pisarenko谐波分解算法,实现用SDRAM运行nios，同时用SRAM保存摄像头数据，包括广义互相关函数GCC时延估计，可以广泛的应用于数据预测及数据分析,有较好的参考价值，一些自适应信号处理的算法。

资源描述While image alignment has been studied in different areas of computer vision for decades, aligning images depicting different scenes remains a challenging problem. Analogous to optical flow where an image is aligned to its temporally adjacent frame, we propose SIFT flow, a method to align an image to its nearest neighbors in a large image corpus containing a variety of scenes. The SIFT flow algorithm consists of matching densely sampled, pixel-wise SIFT features between two images, while preserving spatial discontinuities. The SIFT features allow robust matching across different scene/object appearances, whereas the discontinuity preserving spatial model allows matching of objects located at different parts of the scene. Experiments show that the proposed approach robustly aligns complex scene pairs containing significant spatial differences. Ba

首先输入原始数据，包括节点个数NB 支路个数NL 发电机个数NG节点数据矩阵 databus(节点类型 节点号 发电机有功 发电机无功 负荷有功 负荷无功 电压幅值 相角，标志，节点功率限值 电压限值）节点类型 1 PQ节点 0 PV节点 -1 平衡节点）支路数据矩阵 dataline(起始节点号 终止节点号 支路电阻 支路电抗 支路变比 支路对地导纳，支路有功潮流（7）,支路无功潮流（8），支路有功逆潮流，支路逆无功潮流，额定电流（线路容量限制），线路每小时故障率，线路停运率，标志，支路标识）发电机组参数矩阵（发电机序号，所在节点号，有功功率（GW），无功功率上限，每小时的故障率，每小时的修复率的倒数,有功下限，无功下限，空载电压，机端电压，发电机电抗）然后使用牛顿-拉夫逊法对电力系统进行潮流计算，输出节点电压幅值和相角

粒子群算法工具箱包含了粒子群算法的基本操作和常用功能，实现步骤包括种群规模选择，粒子长度选取，适应度函数编写，粒子群参数确定等，可以方便实现函数极值寻找，系统参数寻优等功能。本案例以函数极值寻优为例，详细讲解了粒子群算法工具箱的使用。

有关于数学软件的部分练习题的matlab(The part about mathematical software in matlab exercises)

基于压缩感知的差分关联成像.能够以较少的采样次数高质量地恢复出物体的信息.(Compressive sensing based differential correlated imaging.)