The FH signal with the short-time Fourier transform ( STFT) is used to yield its time-frequency representation, whose edge information is abstracted by the wavelet transform ( WT), and the spectral analysis is used to implement the hop rate accurate estimation. 利用短时傅里叶变换分析跳频信号,得到其时频表示,再利用小波变换提取该时频表示的边沿信息,进而利用谱分析实现了跳速的精确估计。
Short-time fourier transform analysis of the phonocardiogram signal 心音信号的短时傅立叶变换分析
Just for mat short-time Fourier transformation has fatal shortage in signal analysis. 因而短时傅里叶变换在信号分析上还是存在着不可逾越的缺陷。
Application of short-time Fourier transform in the vibration analysis of the large hydroelectric machine 短时傅立叶变换在大型水轮发电机组振动分析中的应用
First this paper gives an analysis to the basic development process from Fourier transform to wavelet analysis and provides a description concerning the theories of the Fourier transform, the short-time Fourier transform, and wavelet analysis. 简述了由傅里叶变换发展到小波变换的基本过程,深入浅出地分析了傅里叶变换、短时傅里叶交换以及小波分析的基本内容。
Short-time Fourier transform is used for time-frequency analysis of recorded accelerograms, and the inverse transform on adjusted Fourier spectra yields the adjusted time histories; 一方面,利用短时傅立叶变换对实际地震记录进行时频分析,把修改的傅立叶谱逆变换到时间域可以得到新的地震加速度时程。
Short-time Fourier transform is a useful tool in time-frequency analysis, and the choice of window function is the precondition for their analysis. 短时傅里叶变换(short-timeFouriertransform,STFT)是一种常见的时频分析工具,窗函数的选择是其分析的前提。
Through comparison wavelet analysis with Fourier analysis and short-time Fourier analysis, theoretically expounded wavelet analysis in the signal processing were better than Fourier transformation. 将小波变换与傅立叶变换、短时傅立叶变换,进行对比分析,从理论上说明小波变换在信号处理方面是优于傅立叶变换。
Short-time Fourier transform relies on the traditional Fourier spectral analysis, so it is limited to the assumption of the data to be piecewise stationary. 短时傅立叶变换依赖于传统的傅立叶谱分析,所以限制于假定待分析数据是分段平稳的这个条件。
Short-Time-Fourier Analysis Based on Dilating Window 伸缩窗口短时Fourier分析
This paper uses the method of the function of G to imitate to the sequence of hopping-frequency, then makes use of short-time Fourier transform to carry on the analysis and instantaneous frequency estimation. 采用了G函数的方法来模拟跳频序列,然后利用短时傅立叶变换对它进行分析与瞬时频率的估计。
The method and theory of time-frequency analysis based on short-time Fourier Transformation are studied and the wave arrival points of easy component are determined by making software and using time-frequency analysis. 研究了基于短时傅里叶变换的时频分析方法理论,并通过编制软件利用时频分析方法确定各组分波的波至点。
Therefore, Fourier analysis and such based on it: the short-time Fourier transform, Wigner-Ville distribution and wavelet transform analysis can not well analyse non-linear, non-stationary signal problem. 因此,傅里叶分析以及建立在其基础上的短时傅里叶变换、Wigner-Ville分布和小波变换等不能很好地分析非线性、非平稳信号的问题。
Nowadays, most of studies extract speaker features by short-time analysis method, or Fourier transform. However, speech signal is of typical non-linear signal. In fact, using linear-signal analysis to extract speaker features cannot avoid ignoring some important information. 当前,大多数研究中提取说话人特征参数均是应用短时分析方法(傅里叶变换法),但是说话人的语音信号是典型的非线性信号,采用线性信号分析方法势必会丢失一些重要的信息。
Compared with the short-time Fourier transform and Fourier transform, wavelet transforms can be refined for local signals analysis. Statistical analysis and wavelet analysis are used. 与傅里叶变换和短时傅里叶变换相比,小波变换可以实现局部信号的细化分析,对所得试验数据进行统计分析与小波分析。
In order to deal with non-stationary signal analysis, in the the theoretical basis of Fourier analysis, people made a series of signal processing methods, such as short-Time Fourier Transform, windowed Fourier Transform, Gabor transform, wavelet analysis and so on. 为了分析处理非平稳信号,在傅立叶分析的理论基础上,人们提出了一系列的信号处理方法,如短时傅立叶变换,加窗傅立叶变换,Gabor变换,小波分析等等。
The short-time Fourier Transform, the Wavelet Analysis and the Empirical Mode Decomposition method are applied to decompose the acceleration signal for damage time identification successfully. 对加速度信号进行分解,分别应用短时Fourier变换、小波变换和经验模式分解方法等信号处理方法实现了结构损伤时间确定。
In the end, signals are processed by modern data signal processing technique based on computer platform, including short-time Fourier transform, wavelet analysis etc.. 最后基于工控机平台对信号进行了现代数字信号处理,包括短时傅里叶变换,小波分析等。
The theory and implementation of the short-time Fourier transform are firstly discussed. Then, the wavelet transform and Wigner distribution analysis are analyzed. 首先研究了短时傅里叶变换的理论与实现,然后对小波变换和Wigner分布进行了分析与研究。