• DocumentCode
    2651645
  • Title

    Multirate DSP models for gene detection

  • Author

    Guan, Raymond ; Tuqan, Jamal

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    7-10 Nov. 2004
  • Firstpage
    1641
  • Abstract
    Digital filtering techniques such as the sliding window DFT and IIR anti-notch filters can be used as tools to identify the protein coding region in a DNA sequence. A multirate DSP model that emulates a complex anti-notch digital filter has been recently introduced. It was shown through simulations that this specific model is most effective in generating the so-called DNA spectrum when compared to previous digital filtering approaches. The improvement in performance is however offset by a higher computational cost. In this paper, we propose a new and efficient IIR implementation of this complex filtering process that does not sacrifice performance. The new implementation uses real causal stable IIR filters and removes the background noise in the DNA spectrum by a simple averaging operation. A mathematical analysis of the newly proposed scheme is also presented.
  • Keywords
    DNA; IIR filters; biological techniques; biology computing; discrete Fourier transforms; filtering theory; genetics; notch filters; signal denoising; DNA sequence; IIR anti-notch filters; computational cost; digital filtering techniques; gene detection; mathematical analysis; multirate DSP models; sliding window DFT; Background noise; Computational efficiency; Computational modeling; DNA; Digital filters; Digital signal processing; Filtering; IIR filters; Proteins; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
  • Print_ISBN
    0-7803-8622-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2004.1399436
  • Filename
    1399436