Title :
A fast algorithm implementation in gene identification problem
Author :
Ying Yang ; Deyi Li
Author_Institution :
Coll. of Sci., Wuhan Univ. of Sci. & Technol., Wuhan, China
Abstract :
Design a fast calculation method of power spectrum and signal-to-noise ratio is an important key technology for genetic identification problem. The article is based on Voss-mapping to approach the problem from Discrete Fourier Transform algorithm, Cooley-Tukey Fast Fourier Transform algorithm and Lifting Wavelet Transform algorithm. Then a fast calculation method of power spectrum and signal-to-noise ratio is obtained.
Keywords :
DNA; biology computing; discrete Fourier transforms; fast Fourier transforms; genetics; wavelet transforms; Cooley-Tukey fast Fourier transform algorithm; Eukaryotic DNA sequences; Voss-mapping; discrete Fourier transform algorithm; fast algorithm implementation; fast calculation method; genetic identification problem; lifting wavelet transform algorithm; power spectrum; signal-to-noise ratio; DNA; MATLAB; System-on-chip; Wavelet transforms; fourier transform; gene identification; lifting wavelet transform; signal-to-noise;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-4997-0
DOI :
10.1109/ICSESS.2013.6615427
