DocumentCode :
2461207
Title :
The Filtered Spectral Rotation Measure
Author :
Rushdi, Ahmad ; Tuqan, Jamal
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Davis, CA
fYear :
2006
fDate :
Oct. 29 2006-Nov. 1 2006
Firstpage :
1875
Lastpage :
1879
Abstract :
Many signal processing techniques were proposed in the past to identify the so-called period-3 component in the protein coding regions of DNA sequences. Most of these methods evaluate the magnitude of the output of an M-point sliding window DFT at the frequency k = M/3. In this paper, we introduce a new multirate DSP approach that computes the phase of the output of the sliding window DFT at the above frequency. We first show that, similar to the magnitude case, the phase component is completely denned by the so-called filtered polyphase sequences. We then propose the filtered spectral rotation measure for detecting the periodicity in genetic regions by modifying the polyphase sequences using digital filters. Experimental results show that the new filtered measure performs better than the existing non-filtered approaches.
Keywords :
DNA; biology computing; discrete Fourier transforms; filtering theory; proteins; signal processing; DNA sequences; M-point sliding window DFT; digital filters; filtered polyphase sequences; filtered spectral rotation measure; period-3 component; protein coding region; signal processing; DNA; Digital filters; Digital signal processing; Frequency; Genetics; Performance evaluation; Proteins; Rotation measurement; Sequences; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2006.355087
Filename :
4176897
Link To Document :
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