Biomedical signal detection based on fractional fourier transform

2008 ◽  
Author(s):  
Yalin Zhang ◽  
Qinyu Zhang ◽  
Shaohua Wu
Keyword(s):  
Fourier Transform ◽  
Signal Detection ◽  
Fractional Fourier Transform ◽  
Biomedical Signal

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.

scholarly journals Gear Fault Signal Detection based on an Adaptive Fractional Fourier Transform Filter

2011 ◽  
Vol 305 ◽  
pp. 012022 ◽  
Author(s):  
Xiaojun Zhou ◽  
Yimin Shao ◽  
Dong Zhen ◽  
Fengshou Gu ◽  
Andrew Ball
Keyword(s):  
Fourier Transform ◽  
Signal Detection ◽  
Fractional Fourier Transform ◽  
Gear Fault

scholarly journals Time Reversal and Fractional Fourier Transform-Based Method for LFM Signal Detection in Underwater Multi-Path Channel

2021 ◽  
Vol 11 (2) ◽  
pp. 583
Author(s):  
Zhichen Zhang ◽  
Haiyan Wang ◽  
Haiyang Yao
Keyword(s):  
Fourier Transform ◽  
Signal Detection ◽  
Time Reversal ◽  
Fractional Fourier Transform ◽  
Simulated Data ◽  
Detection Performance ◽  
Performance Curves ◽  
Novel Method ◽  
The Difference ◽  
Peak Value

Fractional Fourier transform (FrFT) is a useful tool to detect linear frequency modulated (LFM) signal. However, the detection performance of the FrFT-based method will deteriorate drastically in underwater multi-path environment. This paper proposes a novel method based on time-reversal and fractional Fourier transform (TR-FrFT) to solve this problem. We make use of the focusing ability of time-reversal to mitigate the influence of multi-path, and then improve the detection performance of FrFT. Simulated results show that, compared to FrFT, the difference between peak value and maximum pseudo-peak value of the signal processed by TR-FrFT is improved by 8.75 dB. Lake experiments results indicate that, the difference between peak value and maximum pseudo-peak value of the signal processed by TR-FrFT is improved by 7.6 dB. The detection performance curves of FrFT and TR-FrFT detectors with simulated data and lake experiments data verify the effectiveness of proposed method.

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