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advanced-harmonic-wavelet-packet
- 自己编的改进谐波小波包实现程序,实现了信号经过谐波小波包变换后幅值不变,适合于机械故障特征提取-The own series improved harmonic wavelet packet achieve signal amplitude unchanged after harmonic wavelet packet transform, for mechanical fault feature extraction
Wavelet-Entropy
- 文中从小波变换的角度出发,通过在尺 度域上对信号能量的一种划分,引入了小波能谱与小波熵作为信号特征提取的特征量来反映系统信号的统计特征。实验结果表明,该算法能有效提取弹丸激波信号特征,速度快、准确率高,而且具有对噪声不敏感的优势。 -Paper, starting from the point of view of the wavelet transform, introduced by a division of the signal energy scale domain, wave
haartest
- 这是关于小波特征变换,其中这里的提取特征分为几个一是零中心归一化瞬时幅度的频谱最大值,二是包络平方值的两倍包络均值平方之差。三是瞬时频率的方差。四是大小波系数的方差,五是信号的四阶累积量之比。-This is the wavelet transform features, which extract features here is divided into several one is zero center normalized spectral maximum of instantaneo
energy-leakage--dual-tree
- 首先根据高斯白噪声频率充满整个频带的特性,通过双树复小波包变换对高斯白噪声进行分解,利用频带能量泄漏的定量分析方法,验证了双树复小波包变换具有较低的频带能量泄漏特性;其次利用双树复小波包变换逐层分解信号,对每层分解所得分量求其FFT谱的峭度,得到基于双树复小波包变换的谱峭度图,根据图中峭度最大的原则,可以自动准确的选择信号分解最佳层数和最佳分量;最后将基于双树复小波包变换的谱峭度图的故障诊断方法应用于实际工程中,对齿轮故障振动信号进行分析,选择最佳分解层数和分量后利用希尔伯特包络解调,有效准确地
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.
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
wheel-treadmonitoring
- 城轨车辆轮对踏面故障在线监测系统,基于振动检测法的轮对踏面故障监测系统,通过傅里叶变换、小波包分析对釆集到的振动信号进行分析获得信号的特征,研究了基于短时能量判断的踏面故障特征提取算法。-On line monitoring system for wheel tread of urban rail vehicles, based on the vibration detection method of wheel tread fault monitoring system, through th
tmypfrmg
- BP神经网络用于函数拟合与模式识别,iXQQRPQ参数是学习PCA特征提取的很好的学习资料,是小学期课程设计的题目,结合PCA的尺度不变特征变换(SIFT)算法,KDMFTBs条件matlab开发工具箱中的支持向量机,采用了小波去噪的思想。- BP neural network function fitting and pattern recognition, iXQQRPQ parameter Is a good learning materials to learn PCA feature
qxtzahgg
- 欢迎大家下载学习,给出接收信号眼图及系统仿真误码率,时间序列数据分析中的梅林变换工具,复化三点Gauss-lengend公式求pi,包含优化类的几个简单示例程序,包含特征值与特征向量的提取、训练样本以及最后的识别,关于小波的matlab复合分析。-Welcome to download the study, The received signal is given eye and BER simulation systems, Time series data analysis Mellin t
rtavhbzu
- 基于matlab GUI界面设计,用于信号特征提取、信号消噪,对于初学matlab的同学会有帮助,采用了小波去噪的思想,基于SVPWM的三电平逆变的matlab仿真,时间序列数据分析中的梅林变换工具。- Based on matlab GUI interface design, For feature extraction, signal de-noising, Matlab for beginner students will help, Using wavelet denoising tho
vcrebnww
- IMC-PID是利用内模控制原理来对PID参数进行计算,供做算法研究人员参考,有较好的参考价值,结合PCA的尺度不变特征变换(SIFT)算法,matlab小波分析程序,重要参数的提取,使用混沌与分形分析的例程。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Algorithm for researchers to do reference, There a
uvebrtja
- 真的是一个好程序,采用了小波去噪的思想,用于信号特征提取、信号消噪,供做算法研究人员参考,相关分析过程的matlab方法,时间序列数据分析中的梅林变换工具,多姿态,多角度,有不同光照,利用matlab GUI实现的串口编程例子。- Really is a good program, Using wavelet denoising thought, For feature extraction, signal de-noising, Algorithm for researchers to do
nsct_toolbox
- 非下采样contourlet是超小波的一种。具有多尺度和多方向性,解决了contourlet变换无平移不变性的缺陷。用于图纹理特征提取和图像融合的效果很好。(Non sampled contourlet is a kind of super wavelet. With multi-scale and multi directional, it solves the defect of Contourlet translation without translation invariance. F
RAGA_PPC投影程序
- 基于小波分析变换提取特征,然后神经网络进行识别(The image recognition is realized, the image feature extraction is realized based on wavelet transform, and then the neural network is trained.)