• DocumentCode
    1866464
  • Title

    Low Pass Filtering and Computing Cost

  • Author

    Banerjee, Chandan ; Pandey, Gaurav ; Namdeo, Hemant Kr

  • Author_Institution
    Electron. & Commun. Eng., Vellore Inst. of Technol. Univ., Vellore, India
  • fYear
    2010
  • fDate
    9-10 Feb. 2010
  • Firstpage
    301
  • Lastpage
    303
  • Abstract
    In this paper we are dealing with a linearly swept-frequency cosine signal so called ¿chirp¿ function. We are generating an image row of the same function of required frequency (frequency f = 1 ... around 256 pixel/period, amplitude = 1). After that we are stacking 20 rows to generate a strip image and then we are applying different low pass filters and calculating the attenuation i.e., damping pixel by pixel. On the same time we are calculating computing effort throughout the all processes and comparing all results. We can also analyze iterative convoluted filters, which is more useful than conventional binomial filters.
  • Keywords
    chirp modulation; computer vision; costing; image resolution; low-pass filters; attenuation calculation; binomial filters; chirp function; computing cost; iterative convoluted filters; linearly swept-frequency cosine signal; low pass filtering; strip image generation; Attenuation; Costs; Damping; Filtering; Frequency; Image generation; Low pass filters; Pixel; Stacking; Strips; binomial filter; chirp function; computing cost; median filter; rectangular filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Acquisition and Processing, 2010. ICSAP '10. International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4244-5724-3
  • Electronic_ISBN
    978-1-4244-5725-0
  • Type

    conf

  • DOI
    10.1109/ICSAP.2010.75
  • Filename
    5432747