研究表明，短时矢功率谱可以对矢量信号的短时能量随频率、时间等的变化过程作出分析，可以应用于旋转机械故障诊断实践中。
The application shows that it can analyze the change of the short-time energy of vector signals as frequency and time change, being applicable to the fault diagnosis of rotational machinery.
介绍了瞬时频率的概念和瞬态谱的小波包计算方法，并结合时间域模拟信号给出了其时频分布。
The conception of transient frequency and calculation method of wavelet packet are introduced, and time frequency distribution about simulation and actual seismic signals is given.
针对阻尼比、间隔距离、时间迟滞，计算了不同的固有频率下的碰撞力峰值，绘制出碰撞力响应谱。
The pounding force spectra after given damping ratio, interval, and time delay, were plotted according to the natural frequencies.
目的以门诊量资料为例，计算功率谱密度函数，研究时间序列信号的频率域特征。
Objective The power spectral density functions of outpatient flow are calculated in order to study the spectral characteristics of the given time series.
与传统的FFT相比极大熵谱法具有频率分辨率高，适于短时瞬态数据处理，而且能给出振动幅值与频率和时间三者的关系。
Compared with traditional FFT method, MESE not only has higher resolution but also fits the processing of transient data, so, it can show the relation of amplitude to both time and frequency.
定义了特殊的二维四阶时间平均多矩谱来估计信号频率。
Second, a special 2-D the fourth-order time-average moment spectrum is defined to estimate frequency in zero mean multiplicative and additive noise.
数值计算结果表明，随时间抖动范围增大和频率提高，离散功率谱分量所占比例下降。
The numerical results demonstrate that the larger the zone of timing jitter and the higher the frequency, the less proportion the discrete PSD component is in the total PSD.
将逆时间和空间傅立叶变换应用于估计频率-波数谱，从而产生该地震数据的轨迹内插。
An inverse temporal and spatial Fourier transform is applied to the estimated frequency-wavenumber spectrum, generating trace interpolation of the seismic data.
分析了发音持续时间、平均振幅、基音频率，第一共振峰和Mel频率倒谱参数，并基于模糊熵理论提取了各参数的权重。
The improved method based on fuzzy entropy, which analyzed and distilled the weight of speech duration, average magnitudes, pitch frequency, formants and Mel-frequency cesptral coefficients.
分析了发音持续时间、平均振幅、基音频率，第一共振峰和Mel频率倒谱参数，并基于模糊熵理论提取了各参数的权重。
The improved method based on fuzzy entropy, which analyzed and distilled the weight of speech duration, average magnitudes, pitch frequency, formants and Mel-frequency cesptral coefficients.
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