Determination of Optimum Step Size of LMS Algorithm in De-noising of Image

dc.contributor.author	Mim, Sharmin Akter
dc.contributor.author	Jahan, Nusrat
dc.date.accessioned	2017-06-13T04:12:42Z
dc.date.available	2017-06-13T04:12:42Z
dc.date.issued	12/27/2016
dc.identifier.uri	http://dspace.ewubd.edu/handle/2525/2188
dc.description	This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Information and Communication Engineering of East West University, Dhaka, Bangladesh	en_US
dc.description.abstract	If the source of noise of an image is known then we consider that the noise is correlated with one portion of the noisy image. In this case the noisy of the signal or image is removed using adaptive algorithm. In this project work we removed noise from noisy images using LMS(Least Mean Square) algorithm then similarity between original and recovered images is measured using cross-correlation efficient. The step size of the algorithm is varied to get maximum value of cross-correlation co-efficient to achieve optimum step size.	en_US
dc.language.iso	en_US	en_US
dc.publisher	East West University	en_US
dc.relation.ispartofseries	;ECE00121
dc.subject	LMS Algorithm in De-noising of Image	en_US
dc.title	Determination of Optimum Step Size of LMS Algorithm in De-noising of Image	en_US
dc.type	Thesis	en_US