Research Article |
Improved Single Haze Removal using Weighted Filter and Gaussian-Laplacian
Author(s): Ajeeta Singh Bhadoria* and Vandana Vikas Thakre
Published In : International Journal of Electrical and Electronics Research (IJEER) volume 8, Issue 2
Publisher : FOREX Publication
Published : 30 June 2020
e-ISSN : 2347-470X
Page(s) : 26-31
Abstract
This paper present a new dynamic window function having variable or adjustable spectral characteristics. A new dynamic window function proposed in this paper is a combination of hamming, Blackman-Harris, chebwin, and Kaiser Window function. Blackman-Harris, chebwin, and Kaiser Window functions have been used to compare with the suggested proposed window function i.e. a combination of hamming, Blackman-Harris, chebwin, and Kaiser Window function. Compare observation has been done with the help of MATLAB simulation. The simulation results show that the suggested proposed window function provides better ripple-ratio, main lobe width and side lobe roll-off ratio as compared to Blackman-Harris, chebwin, and Kaiser-window function. While comparing with Blackman-Harris, chebwin, and Kaiser Window functions, proposed window function provide quite good spectral performances with a very small compromisation of one of the spectral characteristics.
Keywords: FIR Filter
, Window Function
, Ripple-Ratio
, Side-lobe Roll-Off Ratio
, Main–lobe Width
.
Juhi Khan Afridi*, M.E. Scholar, Department of Electronics Engineering, MITS Gwalior, Gwalior, India; Email: juhiafridi19@gmail.com
Awadhesh Gupta, Assistant Professor, Department of Electronics Engineering, MITS Gwalior, Gwalior, India; Email: awadhesh2911@mitsgwalior.in
Vandana Vikas Thakre, Associate Professor, Department of Electronics Engineering, MITS, Gwalior, India; Email: vandanavt_19@mitsgwalior.in
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