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