Clustering_Coefficient

彩色图像质量评价程序，用于评价彩色图片的清晰度(Color image quality assessment procedures for resolution of color images)

The histogram of the image gives the frequency of occurrence of the gray level.

pARTIAL TRANSMIT SEQUENCE is very effective technique for papr reduction in OFDM.It divide OFDM sequence into several disjoint sub sequences and convert to time domain then Combine with complex phase factors to reduce PAPR.In this code matlab simulation of this technique is implemented

于慧敏信号与系统第二版第四章部分习题的matlab代码... (And systems in Huimin Xin No. Part Second Edition Chapter Exercises matlab code ...)

刀具在线监测故障信号的时域频域时频域特征提取matlab程序 (Tool-line monitoring of fault signals in time domain frequency domain time-frequency domain feature extraction procedures matlab)

matlab源代码 主要是进行有限元计算的(matlab source code is mainly carried out finite element calculations)

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

这是一个简单的直接序列扩频系统的RAKE接收的Simulink模型。(Simulink model of a simple direct-sequence spread spectrum system with RAKE reception. )

It wil perform DWT on a given signal using Chain process

matlab projects, histogram equalization