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
Link To Document :
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