DocumentCode :
523961
Title :
A new algorithm for the spectrum analysis of yarn signal
Author :
Lei, Zhu ; Xiaomei, Song ; Wenxia, Zhi ; Gaoqiang, Zhang
Author_Institution :
Xi´´an Polytech. Univ., Xi´´an, China
Volume :
1
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
207
Lastpage :
210
Abstract :
The spectrum analysis is one of the key technologies for the detection of yarn quality in the textile industry. It was realized indirectly by the filter method in the past. But the reliability and stability of analog filter method can not be guaranteed, and the algorithm of digital filter method is complex and difficult to be realized. As for these problems, this paper puts forward a new spectrum analysis method, which uses the frequency-domain sampling DFT algorithm to directly calculate and analyze the spectrum of yarn signal, thereby the difficulties in designing and realizing many filters can be avoided. At the same time, the new algorithm can be achieved with low complexity and computing cost. Finally, the feasibility of the new algorithm is verified by MATLAB software simulation.
Keywords :
digital filters; discrete Fourier transforms; frequency-domain analysis; production engineering computing; signal sampling; spectral analysis; textile industry; MATLAB software simulation; analog filter method; digital filter method; frequency-domain sampling DFT algorithm; textile industry; yarn signal spectrum analysis method; Algorithm design and analysis; Digital filters; Frequency domain analysis; Sampling methods; Signal analysis; Signal design; Stability; Textile industry; Textile technology; Yarn; DFT; frequency-domain sampling; spectrum analysis; yarn signal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.139
Filename :
5523487
Link To Document :
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