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信号分解     
相关语句
  signal decomposition
     Independent Component Analysis(ICA)is a new development of signal decomposition.
     :独立分量分析 ( Independent Component Analysis,简记 ICA)是信号分解技术的新发展。
短句来源
     EMG Signal Decomposition Based on Wavelet Transform and ICA Method
     应用小波变换和ICA方法的肌电信号分解
短句来源
     According to the wavelet transformation theory, a diagnose method for helicopters is established, including the order number of the wavelet decomposition and reconstruction, the noise signal decomposition, the separate signal reconstruction and 1/3 times frequency calculation.
     首次开展直升机声疲劳源的诊断工作 ,基于小波变换原理 ,建立了直升机声疲劳源的诊断方法与技术 ,它包含小波分解与重构阶数的确定、噪声信号分解、分解信号重构以及分离信号的 1 3倍频程计算等方面内容 .
短句来源
     An Efficient Algorithm for Adaptive Chirplet-Based Signal Decomposition
     一种有效的基于Chirplet自适应信号分解算法
短句来源
     A New Algorithm of Signal Decomposition and Its Application in ISAR Imaging of Maneuvering Targets
     一种新的信号分解算法及其在机动目标ISAR成像中的应用
短句来源
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  signal decomposing
     ICA (Independent Component Analysis), which is introduced into the field of process industry as a data analysis method, is a signal decomposing technique based on the higher-order statistical information. This method can utilize the statistical characteristics of the variables more efficiently. The intrinsic characteristics of the process can be described through the decomposing of the monitoring variables under the meanings of the statistical independence.
     独立成分分析方法(ICA,Independent Component Analysis)是一种基于高阶统计量的信号分解方法,将其用于流程工业的过程数据分析处理,能更有效地利用变量的概率统计特性,可以在统计独立意义下对观测变量进行分解,得到过程内在的驱动信息源,从而更本质地描述过程特征。
短句来源
     Independent component analysis (ICA) is a new signal decomposing technique developed in recent years. Based on the statistical independence between com-ponents, the observed mixture signal can be decomposed without any prior infor-mation about the components.
     独立成分分析是一种近年来发展起来的信号分解技术,通过观察到的混合信号,利用信号间的统计独立性,就可以得到组成混合信号的独立成分,而不需要任何其它先验知识。
短句来源
     The study has important significance in theory for reasonably to select sensor location,signal sampling frequency and scale of signal decomposing in structural health monitoring based on wavelet analysis.
     所进行的研究对于在基于小波分析的结构健康监测中合理选择传感器位置、采样频率及确定信号分解的尺度数具有理论指导意义.
短句来源
  signal was decomposed
     With this method, the original signal was decomposed into several Intrinsic Mode Functions (IMFs) with EMD, the instantaneous frequency of each IMF was obtained with Hilbert transform, and the spectrum of the instantaneous frequency was accordingly calculated with Fast Fourier Transform (FFT), where the spectrum represented the modulation frequency of corresponding IMF;
     首先将原始信号分解为若干基本模式分量(Intrinsic Mode Functions,简称IMFs),通过希尔波特变换得到每个IMF相应的瞬时频率,再对此瞬时频率曲线做傅里叶变换得到其频谱图,该频谱图即表示了对应IMF的调频频率。
短句来源
     The stock daily return time series signal was decomposed on different frequency bands to study the correlativity, and the energy proportions of different frequency components to the original signal were compared.
     将日收益率的时间序列信号分解在不同频带上,比较各频率成分占原始信号的能量比.
短句来源
     Firstly,The vibrational signal was decomposed into each frequency band according to wavelet packet analysis,then the energy of each frequency band was identification as characteristic vector to diagnosis structural damage.
     首先通过小波包分析将振动信号分解到各个频带,然后以各频带能量作为识别故障的特征向量进行损伤识别。
短句来源
     The signal was decomposed into high or low frequency elements by wavelet transform. The low frequency elements include the main performances of the signal. But the high frequency elements consist of more noise, reconstructing the signal can be realized after flatting the high frequency elements.
     小波变换是将信号分解成高频和低频成分,低频成分包含信号的主要性能,高频含较多的噪声,将高频平滑后再重建即可消噪。
短句来源
     By using the empirical mode decomposition(EMD) method, the signal was decomposed into a finite and small number of intrinsic mode function(IMF), and then the Hilbert transform was applied to each of these intrinsic mode functions to get the energy-frequency-time distribution, designated as the Hilbert spectrum. The energy characteristics of different intrinsic mode functions was extracted to characterize the differential pressure fluctuation signal.
     利用经验模态分解(EMD)方法把信号分解成多个内模函数(IMF),再对各内模函数进行Hilbert变换,得到信号的Hilbert谱,并提取各内模函数的信号能量特征.
短句来源
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  “信号分解”译为未确定词的双语例句
     2) Fourier Analysis can decompose a time series signal into different frequency components, which represent different seasonal mode.
     2)傅立叶分析将时间序列信号分解到不同频率成分中,各个成分分别代表了不同的周期变化模式,其中1/12频率分量概括了植被全年的单峰的季节性变化模式。
短句来源
     The multi-speed system was changed into single-speed system by frequency domain division and simulated with simulink of MATLAB. The simulated result is discussed and it is turned out that to use the multi-speed system locally can improve the dynamic-character of the system and the stabilization toleration, accelerate the respondence, and reduce the super-accommodate.
     通过频域采样信号分解法把多速率系统转换为等效的单速率系统,并用MATLAB中的Simulink工具对其进行了仿真,再通过对单速率系统和多速率系统仿真结果的对比和研究,可得出系统中局部采用多速率系统可以增加系统的稳定裕度,加快系统的响应,减少超调,使系统的动态品质得到改善.
短句来源
     Time series echo signal can be decomposed to IMFs (Intrinsic mode function) by EMD(Empirical mode decomposition) algorithm, which is distributed following frequency.
     经验模态分解(EMD: Empirical mode decomposition)方法能够把时间序列信号分解成有限数目的本征模态函数(IMF: Instrinsic mode function),分解结果按频率高低分布。
短句来源
     Signal's Decomposition and Composition Based on MATLAB
     基于MATLAB的信号分解与合成
短句来源
     A decomposition algorithm of analytic signal based on the Prony method was presented according to the power quality signal characteristic.
     针对电能质量扰动信号特性,提出了一种基于Prony方法的信号分解算法.
短句来源
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  signal decomposition
In this paper, a new signal decomposition method for analyzing nonstationary or nonlinear data, empirical mode decomposition, is proposed to deal with ultrasonic signals.
      
A new two-dimensional signal decomposition scheme using the extreme-lifting scheme
      
This paper discusses the signal decomposition method using the extreme-lifting scheme and two two-dimensional decomposition schemes: separable one-dimensional scheme and two-dimensional scheme with quincunx sampling.
      
A closed-form wideband direction-of-arrival estimation with chirplet-based adaptive signal decomposition algorithm
      
Hence, the chirplet-based signal decomposition has attracted great attention in the area of signal processing.
      
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