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Video-based-Gait-Recognition
- 博士论文;提出了幅值谱和反射对称作为关键帧特征的步态识别算法;小波速度矩和小波反射对称矩,以及用二者的结合来描述步态;分形维数小波分析描述子步态识别算法;静态特征和动态特征相结合的三维步态识别方法-Doctoral dissertation put forward the amplitude spectrum and reflection symmetry characteristics as keyframe gait recognition algorithm wavelet veloc
high-order-deconvlution
- 利用高阶谱进行系统辨识,估计得到点扩散函数,然后再进行傅域或小波域的解卷处理。由此得到的超声图像,分辨率大大提高了。-System identification using higher order spectrum, is estimated to be the point spread function, and then for Fu domain or wavelet domain deconvolution processing. The resulting ultrasound im
fault-diagnosis-of-rolling-bearings
- 滚动轴承故障特征的时间_小波能量谱提取方法,机械工程学报-extraction of rolling bearing fault feature based on time-wavelet energy spectrum,journal of mechanical engineering
morletwavelet
- 一些关于morlet wavelet的文章,分别是用Morlet小波进行包络检波分析,基于小波分析的进化谱及在故障诊断中的应用-Morlet wavelet is Morlet wavelet analysis of the envelope detector, based on the wavelet analysis of the evolutionary spectrum and its application in fault diagnosis
paper-of-VAD
- 语音端点检测的各种论文,包括MFCC、过零率、短时能量、小波以及谱熵等方法,对编写语音VAD算法有很大的帮助-Speech endpoint detection in a variety of papers, including MFCC, zero-crossing rate, short-term energy, wavelet and spectral entropy method, write voice VAD algorithm of great help
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- 对重分配小波尺度谱存在着时、频分辨率不能同时达到最佳及当振动信号中存在着能量较大的噪声时会降低其时频分布可读性的缺陷,提出一种基于参数优化和奇异值分解(SVD)提高重分配尺度谱时频分布可读性的方法。首先利用Shan— non熵方法优化重分配尺度谱基函数的时间.带宽积(TBP),克服其时、频分辨率不能同时达到最佳的缺陷,再对重分配尺度谱 进行SVD降噪降低噪声干扰影响,提高时频分布的可读性。最后用该方法对仿真信号和滚动轴承故障信号进行了分析,结果表明该方法的时频聚集性更好,抗噪能力更强,能
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- 提出一种基于小波分析和奇异谱降噪理论的新方法, 在分析滚动轴承故障特性的基础上, 将奇异谱理论的降噪方法与小波分析理论结合应用于滚动轴承故障诊断中。实例表明,这种结合后的新方法能够更有效地降低噪声,突出振动信号的故障特性, 从而提高设备故障诊断的准确率。-Proposed based on wavelet analysis and Singular Spectrum Reduction Noise Theory new methods in the analysis of rolling bea
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- 滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。-Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envelope analysis method of combini
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- 论述了小波包分解及其能量谱处理发动机连杆轴承故障的原理与方法, 结合传统断火诊断法的思想,应用小波包能量谱直观地识别出故障的特征频带, 并进行量化分析, 结果证明了这种方法比传统的付立叶分析方法具有更大的优越性及现实的应用价值-Discussed and wavelet packet energy spectrum processing engine connecting rod bearing failure principles and methods, combined with trad
wavelet-packet-
- 小波包分解Welch平均法在焊接电弧声功率谱估计中的应用-Application of wavelet packet Welch method in the welding arc sound power spectrum estimation
wavelet-packets-analysis
- 针对风力发电机组传动系统故障时特征量提取困难的问题,提出了改进的小波包结合包络谱的故障诊断新方法。深入研究了小波包频带错乱的问题,对小波包实施了改进,消除了频带错乱的缺陷-In view of the wind turbine drive system characteristics, failure and difficult problems, puts forward the improved wavelet packet combining spectral envelope, a ne
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
FSWT-and-Spectrum-Kurtosis
- 本文提出一种基于频率切片小波变换和谱峭度的综合算法。首先对轴承端的振动信号时频分析,采用FFT、包络谱、频率切片小波变换对其频域性能进行分析,再求其峭度谱与对应包络谱,结合其时域、频域性能,综合分析轴承故障。-This paper presents a synthesis algorithm based on frequency slice wavelet transform and spectral kurtosis. Firstly, the time-frequency analysis
CPP-Numerical-algorithm
- C++数值算法书籍,包含小波变换、谱分析等经典数值计算问题-C++ numerical algorithm books, including wavelet transform, spectral analysis and other classic numerical calculation
dtbkv
- 粒子图像分割及匹配均为自行编制的子例程,小波包分析提取振动信号中的特征频率,计算目标和海洋回波的功率谱密度。- Particle image segmentation and matching subroutines themselves are prepared, Wavelet packet analysis to extract vibration signal characteristic frequency, Calculating a target and ocean echo po
knbxr
- 用谱方法计算流体力学一些流动现象的整体稳定性,Gabor小波变换与PCA的人脸识别代码,随机调制信号下的模拟ppm。- Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Gabor wavelet transform and PCA face recognition code, Random ppm modulated analog s
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- 基于互功率谱的时延估计,关于小波的matlab复合分析,计算两个矩阵之间的欧氏距离。- Based on the time delay estimation of power spectrum, Matlab wavelet analysis on complex, Calculation of the Euclidean distance between the two matrices.
tenfengnao
- 基于kaiser窗的双谱线插值FFT谐波分析,基于多相结构的信道化接收机,关于小波的matlab复合分析。- Dual-line interpolation FFT harmonic analysis kaiser windows, Channelized receiver based on multi-phase structure, Matlab wavelet analysis on complex.
htdkx
- 采用了小波去噪的思想,混沌的判断指标Lyapunov指数计算,music高阶谱分析算法。- Using wavelet denoising thought, Chaos indicator for Lyapunov index calculation, music higher order spectral analysis algorithm.
reassignment
- F.Auger P.Fladrin发表,详细讲述了小波尺度谱重排的推理过程,有着详细的公式推导,可以用于论文撰写