Son_kalinan_yer

图论算法及Matlab程序代码含注释 很详尽(Graph Algorithms and Matlab code with comment)

test1.m 固定增量法求分界面 test2.m 利用误差平方和函数集群 delet.m 删除数组元素 Err.m 计算误差平方和 Distance.m 欧拉距离计算 (test1.m fixed incremental method for use interface test2.m squared error function cluster de let.m delete array elements Err.m calculation error square Distance.m Euler distance)

角点提取的源码，其中有错误，已经修改过了，有注释，希望对大家有帮助！！(Corner extraction of source, including errors, has been modified, annotated, we want to help! !)

There are different m files for different filter to use. perwit.m:=uses window Wx=[1 0 -1 1 0 -1 1 0 -1]/3 and Wy=Wx and then convolves this window with the image. sobel.m:=uses window W=[1 0 -1 2 0 -2 1 0 -1]/4 lablacian.m=uses window W=[0 1 0 1 -4 1 0 1 0] convolve.m=convolves window and image

spectral subtraction code implementation

进行C均值聚类，样本是男女身高体重数据，在程序中增加了很多注释说明部分，适合广大初学者。(Perform C-means clustering, the sample was male and female height and weight data, adds a lot of explanatory notes section in the program, for the majority of beginners.)

Hidden-Unit Conditional Random Fields 工具箱，可以用于训练linearCRF和和L.J.P. van der Maaten, M. Welling 提出的huCRF(We provide Matlab code that implements the training and evaluation of hidden-unit CRFs, as well as code to reproduce the results of our experiments. The code implements four different training algorithms: (1) a batch learner that uses L-BFGS, (2) a stochastic gradient descent learner, (3) an online perceptron training algorithm, and (4) an online large-margin perceptron algorithm. The code can also be used to perform (conditional) herding in hidden-unit CRFs. )

下垂控制仿真，采用PF-QE下垂，能够按给定的有功和无功进行仿真(Droop control simulation, using the PF-QE drop, can be simulated according to the given active power and reactive power)

necessary pdf for wimax

永磁直线同步电机仿真模块,电机采用矢量控制，速度环和电流环采用PI控制( U6C38 u783F u7A0 )