tezhengtiqu

用分水岭的方法实现图像分割 MATLAB实现(image segmentation by watershed methods , MATLAB implementation)

灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的，但它毕竟是有序的，是有整体功能的。灰数的生成，就是从杂乱中寻找出规律。同时，灰色理论建立的是生成数据模型，不是原始数据模型，因此，灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。(Gray theory that the behavior of the system even though the phenomenon is dim, the data is complex, but still it is ordered, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. Meanwhile, the gray theory is to generate the data model, not the original data model, so gray prediction data by generating data gm (1,1) model predicted values ​ ​ obtained result of the inverse process.)

这是本人搜集的一本关于协作分集的书籍，希望对大家有用(This is the one I collect books on cooperative diversity, and hope to be useful)

共轭梯度法，MATLAB程序，计算方法作业，内有说明(Conjugate gradient method, MATLAB procedures, calculation methods work, there are instructions)

自适应并行陷波器,采用了陷波器的并行结构(adaptive lms)

通过粒子群算法快速解决旅行商问题,其中还可以自己设置参数，学习因子，惯性权重等。(Through particle swarm algorithm quickly solve traveling salesman problem, which can still parameters, the learning factor, self-adapting inertia, etc. )

MATLAB小波分析的程序，这是一个信号处理程序，用于故障诊断(MATLAB wavelet analysis procedure, which is a signal processing program for fault diagnosis)

matlab仿真模糊控制器，对学学习模糊控制有一定的帮助 (help matlab simulation fuzzy controller, fuzzy control for school learning.)

code about optimal placement of DG

function Invariant_Line_Feature_Matching ___DESCRIPTION___ Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? ) Example : Invariant_Line_Feature_Matching ( ) ___REFERENCE___ Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach Park, Lee, Lee - Ideal - CV and Im. Und. - 77, 263-283 - (2000)( function Invariant_Line_Feature_Matching ___DESCRIPTION___ Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? ) Example : Invariant_Line_Feature_Matching ( ) ___REFERENCE___ Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach Park, Lee, Lee- Ideal- CV and Im. Und.- 77, 263-283- (2000))