搜索资源列表
wavenoise
- 使用小波熵法对电力负荷时间序列进行预测。-using wavelet entropy method of load time series prediction.
waveletentropy
- 求解一维心电图的小波熵，主要用来计算小波熵，但是这个并没有去掉明显的噪声，除去噪声的话，请把i＝1改为2-electrocardiogram for a peacekeeping wavelet entropy, mainly used to calculate the wavelet entropy, However, this does not remove the obvious noise, remove noise, then
WTE
- 六个信号的小波时间熵进行比较，在同一图上画出六信号波形-Six wavelet entropy to compare the time in the same graph draw the six signal waveforms
topoplot
- 基于采集的脑电导联信号，用matlab去噪和伪迹，最后绘制脑地形图。 去噪文件夹： FastICA_25文件夹为 fastICA函数；pca为pca 函数； av_sub伪迹减法去噪； ica_step1，ica_step2&pca 为ica与pca的去噪程序； wave_entro为小波熵的计算程序； topoplot为地形图函数； topo为画地形图程序；eloc32,eloc16为函数调用32导/
DetectionMethodofFabricDefecBasedonWaveletEntropy.
- 在采用二维离散小波变换对织物图像进行分解的基础上，引入了熵的概念，将小波熵作为织物图像的特征值，把熵值看作系统紊乱程度的度量，由此得到织物图像的小波熵特征值，通过与正常织物经过二维小波变换后提取的小波熵值相比较，熵值大者即认为有疵点存在-At the use of two-dimensional discrete wavelet transform decomposition of the fabric image, based on
matlabwavelettransform
- 利用matlab编程对遥感图像的熵值进行计算，并对其进行小波变换，统计遥感图像在小波域的特性-Matlab Programming for remote sensing images using the entropy values calculated, and its wavelet transform, statistical remote sensing images in the wavelet domain feature
medicalcengshu
- ：根据小波低频子带图像的轮廓模糊度和高频子带图像的细节信息量随小波分解层数增多而增多的规律，从图像熵 出发，提出了一种基于低频子带图像熵差的最佳小波分解层数选择法, 该方法通过计算不同分解层数下各低频子带的图像 熵差，选择最接近原始图像熵差的分解层数作为最佳分解层数。用多种基于小波变换的图像融合法分别对两组医学图像进 行仿真实验，结果表明根据该分解层数选择法得到的融合图像目视效果最好，与相关系数、峰值信噪比、模糊Chebys
Wavelet_Entropy
- 计算一维向量的小波熵。已设置成功能函数文件，可直接调用-One-dimensional vector of wavelet entropy. Can be called directly
work
- 有小波分解求小波熵，还有小波包技术求解信号特征，适应与分析脑电信号特征-Seeking a wavelet decomposition wavelet entropy, and wavelet packets technique to solve the signal characteristics, and analysis of EEG characteristics of adaptation
xiaoboshang
- 计算小波分解后的能量及小波熵。里面还有OFDM信号和WPM信号的程序。-After calculating the energy of wavelet decomposition and wavelet entropy. There is also OFDM signal and the WPM signal process.
wavelet
- 用于求取小波包变换后小波系数的熵值，对初学者很有帮助-Used to obtain the wavelet coefficients after wavelet packet entropy, helpful for beginners
小波分解+MSE熵+特征提取
- 通过小波四层分解，获取脑电信号的四个波形，之后运用多变量多尺度熵计算综合MMSE，为脑电信号识别做基础(After four layers of wavelet decomposition, four waveforms of EEG signals are acquired, and then the MMSE is calculated by using multivariable and multi-scale entropy,
matlab中的小波熵程序
- 时间序列根据小波熵算法进行分段，以达到降维的目的(The time series is segmented according to the wavelet entropy algorithm)
小波和小波包降噪
- 进行了小波和小波包滤波的比较，决策树重构，熵的计算(The comparison of wavelet and wavelet packet filtering, decision tree reconstruction and entropy calculation are carried out)
基于排列熵算法的混沌伪随机序列复杂性分析
- 运用排列熵算法分析了离散混沌系统产生的混沌序列和混沌伪随机序列的复杂性，讨论了混沌系统参数对序列复杂性的影响情况。(Permutation entropy algorithm is used to calculate the discrete chaotic system produced by the complexity of chaotic sequence and chaotic pseudo-random sequence,
小波基函数和图像融合评价指标
- 小波基函数和图像融合评价指标（清晰度、空间频率、梯度、信息熵）(Wavelet basis function and image fusion evaluation index)
小波信息熵
- 对信号进行小波变换，确定小波基的选择和分解层数，再求解信号的信息熵，可用于故障诊断。(The wavelet transform is performed on the signal to determine the selection and decomposition layers of the wavelet base, and then the information entropy of the signal is solve
小波包分解&小波包能量熵算例
- 关于小波包分解和小波包能量熵的算例，可直接运行。(Examples of wavelet packet decomposition and wavelet packet energy entropy.)
小波包能量可视化和GUI设计
- 特色：1.借用小波包分解和小波能量熵函数；2.GUI界面导入西储大学轴承故障数据；3：对提取小波能量方便快捷(Features: 1. Use wavelet packet decomposition and wavelet energy entropy function; 2. GUI interface to import bearing fault data of Xichu University; 3. It is conven
小波熵
- 小波熵求解，小波包分解，4是层数，db3为小波基，参数可改(wavelet entropy,wavelet packet decomposition,the number of layers is 4,db3 is the wavelet basis, parameters can be changed)