MATLAByuanchengxu

2003年Park关于超分辨图像重建的综述性文献，文中回顾了时域与频域的各种重建方法，并进行了比较。比较全面(2003 Park on the super-resolution image reconstruction is summarized in literature, the paper recalled the time domain and frequency domain of various reconstruction methods and compared. More comprehensive)

MATLAB命令大全 实用书籍 MATLAB设计编程必备(MATLAB MATLAB command Guinness Book of Practical Design of programming required)

关于33节点的配电网潮流计算程序C++版本(Distribution network power flow calculation program of 33 nodes on the C version)

本程序是对V-BLAST系统及其检测算法的仿真，可采用BPSK,QPSK,16QAM,64QAM调制。检测算法为ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法。(This procedure is the V-BLAST system and its detection algorithm simulation, can be used BPSK, QPSK, 16QAM, 64QAM modulation. Detection Algorithm for the ML, MMSE, ZF, and the use of zero-forcing successive interference cancellation algorithm.)

MATLAB实现的高光谱图像的端元提取，可以自己下载高光谱图像，然后修改下程序就能用了。(MATLAB implementation of hyperspectral image endmember extraction of hyperspectral images can download and modify the following program can be used.)

time difference of arrival

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:

利用小波进行图像压缩，使用的是一代小波对图像进行的压缩(image compress using wavelet)

适用的方便实用，运算简单，仅供大家参考，谢谢大家。(Practicability Convenient and practical)

Outlier Detection Outlier Detection Outlier Detection Outlier Detection