Chirp signal detection using FFT peak frequency difference [Correspondence]

2016 ◽  
Vol 52 (3) ◽  
pp. 1449-1453 ◽  
Author(s):  
CHI-HAO Cheng ◽  
Lihyeh L. Liou ◽  
James B. Tsui ◽  
David M. Lin
Keyword(s):  
Signal Detection ◽  
Peak Frequency ◽  
Frequency Difference ◽  
Chirp Signal

Multicomponent Chirp Signal Detection Based on Discrete Chirp-Fourier Transform

2017 ◽  
Vol 96 (3) ◽  
pp. 4385-4397 ◽  
Author(s):  
Junfang Li ◽  
Bingbing Li ◽  
Zixun Guo ◽  
Mingqian Liu ◽  
Yongming Guo
Keyword(s):  
Fourier Transform ◽  
Signal Detection ◽  
Chirp Signal

New time-frequency approach for weak-chirp-signal detection

1996 ◽  
Author(s):  
Houng-Jyh M. Wang ◽  
Te-Chung Yang ◽  
C.-C. Jay Kuo
Keyword(s):  
Signal Detection ◽  
Chirp Signal ◽  
Time Frequency ◽  
New Time

scholarly journals Measurement of Radius of a Metallic Ball Using Eddy Current Testing Based on Peak Frequency Difference Feature

2021 ◽  
Author(s):  
Gang Hu ◽  
Ruochen Huang ◽  
Mingyang Lu ◽  
Lei Zhou ◽  
Wuliang Yin
Keyword(s):  
Eddy Current ◽  
Test Piece ◽  
Peak Frequency ◽  
Frequency Difference ◽  
Current Sensor ◽  
Current Testing ◽  
Lift Off ◽  
Analytical Result ◽  
Current Feature ◽  
Frequency Feature

This paper proposes a linear eddy-current feature to determine the radius of a metallic ball in a non-contact manner. An electromagnetic eddy-current sensor with two coils is placed co-axially to the metal ball during measurement. It is well known that the distance between the sensor and test piece (i.e. lift-off) affects eddy-current signals. In this paper, it is found that the peak frequency feature of inductance spectrum is linear to the lift-off spacing between the centre of coil and ball. Besides, the slope of peak frequencies versus lift-offs is linked to the radius of ball. The radius of metallic balls is retrieved from the experimental and embedded analytical result of the slope. Measurements have been carried out on 6 metallic balls with different radii. The radius of the metallic ball can be retrieved with an error of less than 2 %.

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