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
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