DocumentCode :
2966087
Title :
Autocorrelation Algorithm to Evaluate Minimum Periodicity of Digital Sequence
Author :
Shuai, Chen ; Renyi, Shu
Author_Institution :
Dept. of Comput. & Electron., Huainan Normal Univ., Huainan, China
Volume :
2
fYear :
2011
fDate :
28-29 March 2011
Firstpage :
961
Lastpage :
963
Abstract :
In order to analyze sequences, the minimum periodicity of sequences may be calculated. According to the relation of the sequence with its autocorrelation, an algorithm was brought forward. The periodicity of autocorrelation is equal to the periodicity of the digital sequence. The minimum periodicity of autocorrelation sequence is the position difference between the top apex with the second apex of the unitary autocorrelation excluding direct component. The algorithm principle was introduced and applications were afforded to verify the method. The result shows that the method was right to evaluate minimum periodicity of sequences successfully. The algorithm is helpful to analyze the periodicity of digital sequence.
Keywords :
random sequences; signal processing; time series; autocorrelation algorithm; digital sequence; minimum periodicity evaluation; unitary autocorrelation; Algorithm design and analysis; Correlation; Entropy; Random sequences; Time series analysis; Water resources; algorithm; apex; autocorrelation; digital sequence; periodicity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
Type :
conf
DOI :
10.1109/ICICTA.2011.526
Filename :
5751051
Link To Document :
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