CONP

Morphology, broadly, is the study of form or structure. Folkloristic morphology, then, is the study of the structure of folklore and fairy tales. Folkloristic morphology owes its existence to two seminal researchers and theorists: Russian scholar Vladimir Propp and Finnish folklorist Antti Aarne.

Toeolitz矩阵的相乘程序，实现Toeplitz矩阵的相乘操作(matlab program for toeplitz matrix multiplication)

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:

Canny edge detector algorithm matlab codes This part gives the algorithm of Canny edge detector. The outputs are six subfigures shown in the same figure: • Subfigure 1: The initial "lena" • Subfigure 2: Edge detection along X-axis direction • Subfigure 3: Edge detection along Y-axis direction • Subfigure 4: The Norm of the image gradient • Subfigure 5: The Norm of the gradient after thresholding • Subfigure 6: The edges detected by thinning

program for poluses

矩量法的matlab程序，包含网格划分和矩量法求解的源代码(method of moment)

This is a Hybrid PSO GSA Aigorithm.A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.

PCA是人脸识别中的一个重要领域，这里有源代码，希望对大家有帮助(PCA is an important field of face recognition, where source code, we want to help)

根据样本估计密度曲线的方法，也就是pavzen窗函数法，采用正态窗函数，先画直方图，在估计平滑的密度曲线(Estimated based on the sample density curve method, which is pavzen window function method, using normal windows function, the first histogram drawn in the estimated density curve smoothing)

QPSK modulated signal generating