Time-frequency analysis of Fourier transform mass spectrometry data by the hilbert transform-based time-domain method

2020 ◽  
Vol 457 ◽  
pp. 116432
Author(s):  
Dayu Li ◽  
Yang Tang ◽  
Wen Fei ◽  
Ting Jiang ◽  
Wei Xu
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Frequency Analysis ◽  
Hilbert Transform ◽  
Time Domain ◽  
Fourier Transform Mass Spectrometry ◽  
Time Domain Method ◽  
Mass Spectrometry Data ◽  
Time Frequency ◽  
The Hilbert Transform

Artifacts Induced by Selective Blanking of Time-Domain Data in Fourier Transform Mass Spectrometry

2013 ◽  
Vol 24 (11) ◽  
pp. 1722-1726 ◽  
Author(s):  
Feng Xian ◽  
Santosh G. Valeja ◽  
Steve C. Beu ◽  
Christopher L. Hendrickson ◽  
Alan G. Marshall
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Time Domain ◽  
Fourier Transform Mass Spectrometry ◽  
Time Domain Data

scholarly journals Comparison of the Time Domain Windows Specified in the ISO 18431 Standards Used to Estimate Modal Parameters in Steel Plates

2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Jhonatan Camacho-Navarro ◽  
R. Guzmán-López ◽  
Sergio Gómez ◽  
Marco Flórez
Keyword(s):  
Fourier Transform ◽  
Frequency Analysis ◽  
Time Domain ◽  
Steel Plate ◽  
Theoretical Method ◽  
Steel Plates ◽  
Mode Shapes ◽  
Modal Parameters ◽  
Time Frequency ◽  
The Time Domain

The procedures used to estimate structural modal parameters as natural frequency, damping ratios, and mode shapes are generally based on frequency methods. However, methods of time-frequency analysis are highly sensible to the parameters used to calculate the discrete Fourier transform: windowing, resolution, and preprocessing. Thus, the uncertainty of the modal parameters is increased if a proper parameter selection is not considered. In this work, the influence of three different time domain windows functions (Hanning, flat-top, and rectangular) used to estimate modal parameters are discussed in the framework of ISO 18431 standard. Experimental results are conducted over an AISI 1020 steel plate, which is excited by means of a hammer element. Vibration response is acquired by using acceleration records according to the ISO 7626-5 reference guides. The results are compared with a theoretical method and it is obtained that the flat-top window is the best function for experimental modal analysis.

Short Time Fourier Transform Analysis of Multi-Component Nonstationary Acoustic Signal

2011 ◽  
Vol 403-408 ◽  
pp. 3163-3165 ◽  
Author(s):  
Zhi Bin Gao
Keyword(s):  
Fourier Transform ◽  
Frequency Analysis ◽  
Time Domain ◽  
Frequency Characteristic ◽  
Acoustic Signal ◽  
Short Time Fourier Transform ◽  
Characteristic Parameters ◽  
Time Frequency ◽  
Analysis Technique ◽  
Short Time

In order to extract major components of signal, multi-component nonstationary acoustic signal was analyzed with time-frequency analysis technique. By transforming multi-component nonstationary acoustic signal from time domain to time-frequency domain with short time Fourier transform, major components were determined according to spectrogram. Results show that major components and its time-frequency characteristic parameters can be extracted exactly. Short time Fourier transform is an effective method for extracting major components of nonstationary acoustic signal.

scholarly journals Ab initio prediction of metabolic networks using Fourier transform mass spectrometry data

Metabolomics ◽  
2006 ◽  
Vol 2 (3) ◽  
pp. 155-164 ◽  
Author(s):  
Rainer Breitling ◽  
Shawn Ritchie ◽  
Dayan Goodenowe ◽  
Mhairi L. Stewart ◽  
Michael P. Barrett
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Ab Initio ◽  
Metabolic Networks ◽  
Fourier Transform Mass Spectrometry ◽  
Mass Spectrometry Data ◽  
Ab Initio Prediction

Development of a derivatisation method for the analysis of aldehyde modified amino acid residues in proteins by Fourier transform mass spectrometry

2009 ◽  
Vol 633 (2) ◽  
pp. 216-222 ◽  
Author(s):  
Mostafa Pournamdari ◽  
Ahmed Saadi ◽  
Elizabeth Ellis ◽  
Ruth Andrew ◽  
Brian Walker ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Amino Acid ◽  
Fourier Transform Mass Spectrometry ◽  
Amino Acid Residues

LFM Signal Detection Method Based on Fractional Fourier Transform

2014 ◽  
Vol 989-994 ◽  
pp. 4001-4004 ◽  
Author(s):  
Yan Jun Wu ◽  
Gang Fu ◽  
Yu Ming Zhu
Keyword(s):  
Fourier Transform ◽  
Signal Detection ◽  
Frequency Analysis ◽  
Experimental Analysis ◽  
Fractional Fourier Transform ◽  
Detection Method ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Frequency Information ◽  
Strong Impulse

As a generalization of Fourier transform, the fractional Fourier Transform (FRFT) contains simultaneity the time-frequency information of the signal, and it is considered a new tool for time-frequency analysis. This paper discusses some steps of FRFT in signal detection based on the decomposition of FRFT. With the help of the property that a LFM signal can produce a strong impulse in the FRFT domain, the signal can be detected conveniently. Experimental analysis shows that the proposed method is effective in detecting LFM signals.

Sign in / Sign up

Export Citation Format

Share Document