Sparse signal decomposition Order analysis Gear Fault diagnosis;
稀疏信号分解；阶比分析；齿轮；故障诊断；
A scheme of EMG signal decomposition was reported no need of human supervision.
本文提出一种不需人工干预的EMG信号自动分解算法。
The invention discloses a gear fault diagnosis method based on multiscale linear frequency modulation-based sparse signal decomposition.
本发明公开了一种基于多尺度线调频基稀疏信号分解的齿轮故障诊断方法。
However, the proposed algorithm based on mp can realize high speed, at the same time, the performance of the signal decomposition is assured.
本文研究工作是基于MP分解存在计算量大、过完备原子库存储量大的问题展开的。
As an adaptive algorithm of signal decomposition, matching pursuits provides a new framework for sinusoidal modeling of speech and audio signal.
匹配跟踪作为一种自适应的信号分解算法，为语音和音频正弦建模提供了一个新的框架。
In this paper, the theory of wavelet transformation in signal noise reduction is introduced, together with the algorithm of signal decomposition and reconstruction.
介绍采用小波变换进行信号降噪的原理；利用小波分解和重构函数对轧机主传动轴应力和扭矩信号进行降噪处理。
Experimental results show that gear vibration signal decomposition can detect different faults, and high-order acceleration signals are more sensitive to certain type of fault.
研究表明，齿轮运动信号分解能够有效检测齿轮的各类故障，高阶加速度信号对齿轮某些类型的早期故障更加敏感。
In order to provide an accurate-pitch-cycle speech for pith detection algorithm with varied noise and SNR, we use signal decomposition theory in pre-processing of pitch detection.
为了在不同噪声、信噪比下为基音检测算法提供更能准确反映基音周期实际变化的输入语音，本文将信号分解思想引入基音检测前端处理中。
An envelope order spectrum based on multi-scale chirplet and sparse signal decomposition was proposed and applied to the fault diagnosis of gearboxes with rotating speed fluctuation.
提出了基于线调频基稀疏信号分解的包络阶次谱方法，并将其应用于变速齿轮箱故障诊断之中。
This signal decomposition and rebuilding algorithm was used in processing the blast - caused seismic signal noise of Nanfen Iron Open - pit Mine, which achieved good noise subtracting effect.
利用这种信号的分解与重构算法在南芬露天矿爆破地震信号噪声处理中，取得较好去噪效果。
In this paper, a new method for time-varying ARM A model is introduced. It includes two procedures. First, using one method of signal decomposition, a signal is decomposed into some basic components;
该文提出了一种新的非平稳信号的时变参数ARMA模型分析方法，用它分析数据需两个基本步骤：首先，用一种信号分解方法把信号分解成一些基本模式分量。
Researching on how to construct the wavelet in space domain by lifting scheme, the thesis obtains the computation method of wavelet signal decomposition and reconstruction based on the lifting scheme.
利用提升格式研究了在空间域内构造小波的问题，并得到了基于提升格式下的小波信号分解与重构的计算方法。
Aiming at the mode mixing problem caused by intermittency signal in the sifting process of empirical mode decomposition (EMD), a new solution is presented.
针对在经验模态分解(EMD)筛选过程中间断信号引起的模态混叠问题，提出了一种新的解决方法。
Empirical Mode Decomposition (EMD) is introduced to replace time synchronous averaging of gearbox vibration signal.
探讨了应用经验模态分解代替时域同步平均分析减速器振动信号的方法。
MUSIC (MUltiple SIgnal Characterization) is a special spectral estimation method based on the eigen decomposition of the sample covariance matrix.
多重信号分类(MUSIC)算法是通过对数据协方差矩阵进行本征分解获得信号空间谱估计的方法。
The sorted QR decomposition algorithms proposed in this paper are used to sort signal in BB and stack algorithms.
对分枝定界和堆栈算法采用本文提出的排序QR分解算法在检测前对信号排序。
In the third chapter, a measure of frequency estimation based on signal sparse decomposition is introduced.
在第三章中，介绍了基于信号稀疏分解的频率估计方法。
Focus matrix is constructed by polar decomposition of location matrix and transforms signal subspace at different frequency bins to signal subspace at focusing frequency bin.
通过对方向矩阵进行极分解构造聚焦矩阵，把各个窄带频率处的信号子空间变换到聚焦频率处的信号子空间。
The algorithm is based on the subspace decomposition technique. The signal subspace is separates from the noise subspace by making use of the orthogonality between them.
该算法基于子空间分解技术，利用信号子空间和噪声子空间的正交性将两者分离。
The basic concept of the wavelet analysis, binary wavelet decomposition and reconstruction algorithm are introduced, and the peculiarities of the frequency of logging signal are discussed.
介绍了小波分析的基本概念和二进小波的分解及重构算法，探讨了测井信号的频谱特征。
Through estimating the signal and noise subspaces with the eigen-decomposition of the correlation matrix, the MUSIC algorithm is used to estimate the DOAs of LFM sources.
通过对相关矩阵进行特征值分解，估计信号子空间和噪声子空间，并利用MU S IC算法估计宽带LF M信号的波达方向。
The multiresolution empirical mode decomposition method of signal can be interpreted as spatial filtering based on the signal's extremum characteristic scale.
信号的多分辨经验模分解方法可以解释为以信号极值特征尺度为度量的时空滤波过程。
Based on the unique decomposition of signal eigenvectors, we use one or more signal eigenvectors to estimate DOAs by an iterative algorithm.
基于信号特征向量分解的一种唯一形式，我们提出了用递推算法来实现由一个或几个信号特征向量进行DOA估计。
In this paper, a new concept-the convolution and decomposition of signal is put forward, its nature as well as the limited energy in particular are discussed.
在这篇文章中，我们提出了一个新概念——信号的褶积分解。我们讨论了信号褶积分解的性质，特别是能量有限性质。
After signal local wave decomposition, the information entropy according to time-frequency distribution was established, and it was used as characteristic parameter for fault recognition.
对信号进行局域波分解后，建立基于时频分布的信息熵，以此作为故障识别的参数。
A general difficulty of using singular value decomposition (SVD) to split signal and noise subspaces is in the right choice of effective rank.
用奇异值分解界定信号和噪声子空间的困难之处，在于有效秩的确定。
This method includes decomposition of sound channel signal processing at other nodes and using proper transmitting-receiving protocol.
其中包括海洋声信道分解、号处理异地化以及定制收发协议等。
Some methods of SEMG signal pretreatment based on blind source separation using second order statistics were proposed for noise separation and the elementary decomposition of multi-channel SEMG.
采用基于二阶统计量的盲源分离算法对多导表面肌电信号进行处理，实现噪声的分离和表面肌电信号的初步分解。
Empirical mode decomposition(EMD) is a signal processing technique to decompose data set into several intrinsic mode functions(IMF) by a sifting process.
经验模式分解（EMD）通过筛分过程将原始信号分解成若干个基本模式分量（IMF），可看作无需预设带宽的自适应高通滤波方法。
Otherwise, signal sparse denotation and decomposition can not be practical, it can only remain in the searching phases.
为促进信号稀疏表示、稀疏分解的研究与应用，研究其快速算法是十分必要的。
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