Open AccessMaximum and Minimum Power adaptation analysis for Transmission of Different Image Formats using Unilevel Haar Wavelet
Author(s) -
M. Padmaja
Publication year - 2012
Publication title -
signal and image processing : an international journal
Language(s) - English
Resource type - Journals
eISSN - 2229-3922
pISSN - 0976-710X
DOI - 10.5121/sipij.2012.3414
Subject(s) - haar wavelet , wavelet , haar , transmission (telecommunications) , image (mathematics) , wavelet transform , computer science , artificial intelligence , mathematics , computer vision , pattern recognition (psychology) , discrete wavelet transform , telecommunications
This paper addresses power allocation methods for multimedia signals over wireless channels. The aim of\udthis paper is to minimize total power allocated for image compression and transmission, while the power\udfor each bit is kept at a predetermined value. Maximum and minimum power control algorithms are\udproposed. In this work, an approach for minimizing the total power allocated to a multimedia like image\uddue to source compression and transmission subject to a fixed bit source distortion using different\udparameters are analysed. Simulations are performed using haar wavelet over AWGN channel. Structural\udContent (SC), Average Difference, Normalized Absolute Error (NAE), etc are analysed. Maximum Power\udAdaptation Algorithm shows better performance than Conventional Power Adaptation Algorithm. \u