Adaptive-filter

it is based on pv system.it is a hybrid powr system

在大数据处理时常用的一种线性鉴别方法，里面有讲解和源代码程序(When large data processing methods commonly used linear discriminant, there are explanations and source code)

one paper about the power system electronic ieee

雷达对4个目标进行脉冲压缩和mti，mtd(Pulse compression and mti radar on the four goals, MTD)

It cab be open old format of mdl file on new version of matlab invalid model name or file does not exist. due to the presence of characters that are not supported in the current character encoding setting windows-949 clc clear close all bdclose all set_param(0, CharacterEncoding , ISO-8859-1 )

应用simulink仿真环境实现由三相正弦波产生PWM波形的仿真实验(PWM control)

在matlab环境下编写的拉格朗日代码，有需要的可以看看(Lagrangian code written in matlab environment)

This is IP optimization method examples with nonequality constraints

1 SIFT 发展历程 SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。 2 SIFT 主要思想 SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。 3 SIFT算法的主要特点： a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。 b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。 c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。 d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。 e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。 4 SIFT算法步骤： 1） 检测尺度空间极值点 2） 精确定位极值点 3） 为每个关键点指定方向参数 4） 关键点描述子的生成 本包内容为sift算法matlab源码(1 SIFT course of development SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement. 2 the SIFT main idea The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant. 3 the main features of the SIFT algorithm: a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability. b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23]. c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors. d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements. e) The scalability can be very convenient fe)

可对地震波进行积分和基调运算，适合研究生做课题研究。(For get the real displacement ,we can get it by two times integral. But we need to do baseline adjustment.)