-
matlabimage
数字图像处理要用到的matlab主要基本源代码(image processing)
- 2011-04-22 10:10:53下载
- 积分:1
-
relnotes
release for matlab note 2011a
- 2012-04-02 22:23:27下载
- 积分:1
-
costas_chuantong
传统的COSTAS环SIMULINK建模仿真(COSTAS ring SIMULINK modeling and simulation)
- 2012-06-02 23:26:10下载
- 积分:1
-
work
基于JADE算法的Matlab数字水印技术(Based on the the JADE algorithm of Matlab digital watermarking technology)
- 2013-05-01 11:27:09下载
- 积分:1
-
ltticeclosedegree
首先将测量值与估计值都进行模糊化,然后计算测量值与估计值之间的格贴近度, 利用贴近度来描述各个传感器在测量中的权重,最后得到融合结果。(First, the measured values and estimated values are fuzzified, and then calculated between measured and estimated values of the lattice close to the degree of closeness to describe the use of various sensors in the measurement of weight, and finally get fusion.)
- 2010-06-02 18:50:08下载
- 积分:1
-
BFSK_rayleigh
This file describ the BFSK_rayleigh.
- 2012-06-30 02:27:20下载
- 积分:1
-
11
说明: 分类器程序,基于Matlab,采用最小误差判别准则(Classification program, based on Matlab, minimum error criterion)
- 2012-10-23 18:17:33下载
- 积分:1
-
problem1
MATLAB codes for Finite Element Analysis
problem1.m
antonio ferreira 2008
- 2013-10-01 18:58:53下载
- 积分:1
-
图片中的数字识别
说明: 可以实现图片中的数字识别,并将识别之后的数字写入文本文件中,数字可以式多行,可以长度不同才可以(But realize the number recognition in the picture, and write the recognized number into the text file.)
- 2019-12-02 15:54:47下载
- 积分:1
-
MultiScaleEntropy
说明: 实现多尺度熵的算法
多尺度熵(Multiscale entropy, MSE)将样本熵扩展到多个时间尺度,以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性,Costa等人(2002,2005)提出了多尺度熵。(MultiScale Entropy
There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)
- 2021-04-02 17:19:07下载
- 积分:1