Title :
A new design of low pass filter by Gaussian derivative family
Author :
Karmakar, Subhajit ; Ghosh, Kuntal ; Saha, Ratan K. ; Sarkar, Sandip ; Sen, Swapan
Author_Institution :
Microelectron. Div., Saha Inst. of Nucl. Phys., Kolkata
Abstract :
Exploiting the models of human visual system based on Gaussian derivatives and their non-localization property in spectral domain, a new design of low pass filter is proposed in this work. The filter is designed by a weighted combination of the Gaussian derivative family which makes the passband of this filter almost equiripple. This design principle can be extended for the bandpass filter also because of the bandpass nature of the Gaussian derivatives in spectral domain. This work is applied in the design of adaptive digital filters for sigma-delta based ultrasound beamformer
Keywords :
Gaussian processes; adaptive filters; band-pass filters; digital filters; image processing; low-pass filters; Gaussian derivative family; adaptive digital filters; bandpass filter; human visual system; low pass filter; sigma-delta based ultrasound beamformer; Algorithm design and analysis; Band pass filters; Digital filters; Finite impulse response filter; Frequency; Humans; IIR filters; Low pass filters; Signal processing; Visual system; FIR; Gaussian derivatives; optimal filter;
Conference_Titel :
Intelligent Sensing and Information Processing, 2005. ICISIP 2005. Third International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-7803-9588-3
DOI :
10.1109/ICISIP.2005.1619432