搜索资源列表
haar-transform
- 利用哈尔小波变换进行分尺度分析并计算每个尺度下的能量-Use Haar wavelet transform to analyze and calculate the energy sub-scales under each scale
mywavedec_energy
- 自己可以根据实际情况选择不同的小波基来进行多尺度变换，并得到每个尺度下的能量分布-They can choose according to the actual situation of different multi-scale wavelets to transform and get under each scale energy distribution
Mallet-algorithm-code
- 使用Matlab实现 MAllet 快速算法的运行，开始时，根据其实现原理，先对图像进行二维小波分解，得到塔式结构，并输出，输出方差、标准差及能量函数还有小波逐层分解的示意图-Schematic use Matlab to run MAllet fast algorithm, at the start of its implementation in accordance with the principles, the first of a two-dimensional image wave
audiowatermarking
- 基于小波域变换的数字音频水印算法，该算法对音频信号实施小波变换，对精细分量的能量进行比较，根据能量比较的结果及水印比特，结合人类听觉系统，采取缩小或不改变精细分量能量的方法，在精细分量中嵌入水印。-Base on DWT of the digital audio watermarking algorithm，the audio signalhas been transformed by DWT, the energy of detail coefficient of the first thre
nengliang_dwt
- 基于小波的能量取大融合，基于区域的能量取大融合-Based on wavelet take large fusion energy, the energy to take on the big regional integration
wavenengliang
- 小波分析语音信号并计算各IMF包络的能量熵-Wavelet analysis of vibration signals and calculate the energy entropy IMF envelope
program
- 包括emd分解程序，求边际谱程序，hilbert包络解调程序，求取小波包频带能量程序，K均值聚类程序-fault diagnosis program
waveletfenxi.m
- 这是一个基于小波包能量特征提取的小波分析。-Wavelet analysis based on wavelet packet energy feature extraction
Untitled3
- 根据初始信号，求出信号的小波包能量，并计算出重构信号与原始信号的均方根误差-According to the initial signal, obtained wavelet packet energy signal and calculates the reconstructed signal and the original signal RMSE
4fenlei
- 小波包能量程序，支持向量机组分类时，特征的提取，小波包能量-Wavelet packet energy program, support vector machine classification, feature extraction, wavelet packet energy
fecture
- 利用bior5.5小波对声音进行能量特征提取。小波基可以任意变换。-The sound use bior5.5 wavelet energy feature extraction. Wavelets can transform any.
Haar-wavelet-energy
- Haar小波的-小波包能量谱图，希望对大家有用-haar wavelet energy
xiaobobao8-1-1-1-1
- 轴承信号小波变换，四层小波包分解，提起频带能量-Bearing wavelet transform
improved-wavelet-packet--and-PNN
- 提出改进型的节点重构小波包频带能量谱与 PNN（概率神经网络）的联合故障诊断新方法。 有具体的数据和程序，经过本人验证的，程序有效！效果很好！-Joint fault diagnosis node propose a new method for the reconstruction of improved wavelet packet energy spectrum band and PNN (probabilistic neural network). Specific data and p
Bxiaobo3
- 小波包分解，提取能量特征，然后进行归一化处理，获取诊断信息-Wavelet Neural Network
WAVPENE
- 小波包分析结合能量算法实现特征信号的提取，其中还包含用于测试的轴承数据-Wavelet packet analysis combined with the energy of signal feature extraction algorithm, which also contains the data for bearing test
waveaenergy
- 此程序为小波包变换结合和能量谱分析提取特征频率-This procedure for the analysis of wavelet packet transform and energy spectrum feature extraction of frequency combination
block-energy-Digital-watermarking
- 小波域内选择能量较大的系数嵌入数字水印的程序-Digital watermarking based on block energy selection
12
- 小波分解层数为5层，提取高频系数，进行单只重构，从而得到各组系数，最后再用能量熵的算法对其进行计算。-Wavelet decomposition level five layers, extract the high frequency coefficients were alone reconstruction, whereby each set of coefficients, then the final energy entropy algorithm to calculate.
xbfx
- 小波分析、局部放电试验所采集的信号中往往混有白噪声、周期干扰信号去除。此处采用常用db系列小波中的db6小波进行9尺度的多分辨分解后，根据白噪声能量特性，估算各尺度的阈值大小，采用硬值进行处理，后进行重构。-Wavelet Analysis、Signal acquired partial discharge test is often mixed with white noise, periodic interference signal removal. Db series wavelet c