The relative waveforms, such as maximum frequency, mean frequency and bandwidth, were obtained using the short time Fourier analysis of those simulated signals.
对这些仿真信号进行短时傅里叶分析，求出相应的最大频率、平均频率和频谱宽度等曲线。
Real time Fourier analysis is introduced on the basis of traditional Fourier analysis. APF USES a slippage iterative calculation method to suit DSP control system.
在传统傅里叶分析的基础上，给出了一种实时傅里叶分析的方法，并针对DSP控制系统，运用了滑窗迭代的计算方法。
These analysis method in fault diagnosis process can play an important role, but Fourier analysis method is only suitable for analysis of the continuous, the steady time signal.
这些分析方法在故障诊断过程中起到了重要的作用，但傅立叶分析方法只适合于分析连续的、平稳的时域信号。
The process of reconstructing a function of time or space from its sinusoidal components determined in Fourier analysis.
根据其正弦型分量用傅立叶分析方法重建一个时间或空间函数的过程。
Based on Fourier transform, short time Fourier transform and Wavelet transform, a realizing method of system software module of Virtual signal analysis instrument is proposed.
基于傅立叶变换、短时傅立叶变换和小波变换，提出了一种虚拟信号分析仪的系统软件模块的实现方法。
Fourier analysis method is proposed for analyzing the discontinuous time series of pressure.
提出了一种用于对不连续压力采样序列的傅立叶分析方法。
Here, secondary treatment methods are introduced in detail, include time domain signal statistics character, frequency analysis fast Fourier transform (FFT), and short time Fourier transform (STFT).
这里，主要对二次处理的方法作了详细的介绍，包括时域信号的统计特征，频域分析的傅立叶变换和短时傅立叶变换。
The key advantage of the wavelet analysis is that, in contrast to the conventional Fourier analysis, it can be localized in the time and frequency domain simultaneously.
同传统的傅立叶分析相比，小波分析的最大优势在于可以同时在时频两方面实现局部化分析。
In this paper, two kinds of new time-frequency analysis approaches for non-stationary signal processing are introduced, which are wavelet transform and short-time Fourier transform.
本文介绍处理非平稳信号的新型工具——小波分析、短时付氏变换两种时频分析方法。
In this paper, two kinds of new time-frequency analysis approaches for non-stationary signal processing are introduced, which are wavelet transform and short-time Fourier transform.
本文介绍处理非平稳信号的新型工具——小波分析、短时付氏变换两种时频分析方法。
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