An adaptive MIMO architecture for perceptually coded multimedia transmission through wireless channels

The public’s demand for wireless multimedia is stimulating research for efficient paradigms for the transmission of visual information over wireless channels which often suffer from multipath fading, shadowing and inter-symbol interference. The aim of this project is to implement a transmission sche...

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Main Author: Buddha, Sreenivas Kartik
Other Authors: A S Madhukumar
Format: Final Year Project
Language:English
Published: 2010
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Online Access:http://hdl.handle.net/10356/39750
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-397502023-03-03T20:52:03Z An adaptive MIMO architecture for perceptually coded multimedia transmission through wireless channels Buddha, Sreenivas Kartik A S Madhukumar School of Computer Engineering Centre for Advanced Information Systems DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks The public’s demand for wireless multimedia is stimulating research for efficient paradigms for the transmission of visual information over wireless channels which often suffer from multipath fading, shadowing and inter-symbol interference. The aim of this project is to implement a transmission scheme for images across a wireless channel, by capitalizing on the unequal importance attributed to different fragments of the image by the end user. Using the Human Visual System (HVS) of texture masking, the image to be transmitted is split into streams of different qualities. The highest quality stream which has low amount of texture in it is more sensitive towards noise whereas the lowest quality stream which has high texture content is relatively less noise sensitive. The motivation behind this project is to take advantage of this trait in order to develop an efficient architecture. Recent technologies like Orthogonal Frequency Division Multiplexing (OFDM), Multiple-Input Multiple-Output (MIMO), Adaptive Modulation and Coding (MAC) and Dynamic Channel Allocation (DCA) improve the spectrum efficiency of wireless systems especially in broadband applications. The communication architecture addressed here encompasses principles from the above technologies and tries to prioritize the data from high quality streams over data from low quality streams, so that the overall perceptual quality of the received image is enhanced. The simulations performed on the Lena and baboon test images demonstrate that the received images have indeed better perceptual quality in the case when the above perceptual model is adopted when compared to a normal transmission scheme. Bachelor of Engineering (Computer Engineering) 2010-06-04T00:35:10Z 2010-06-04T00:35:10Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/39750 en Nanyang Technological University 60 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
Buddha, Sreenivas Kartik
An adaptive MIMO architecture for perceptually coded multimedia transmission through wireless channels
description The public’s demand for wireless multimedia is stimulating research for efficient paradigms for the transmission of visual information over wireless channels which often suffer from multipath fading, shadowing and inter-symbol interference. The aim of this project is to implement a transmission scheme for images across a wireless channel, by capitalizing on the unequal importance attributed to different fragments of the image by the end user. Using the Human Visual System (HVS) of texture masking, the image to be transmitted is split into streams of different qualities. The highest quality stream which has low amount of texture in it is more sensitive towards noise whereas the lowest quality stream which has high texture content is relatively less noise sensitive. The motivation behind this project is to take advantage of this trait in order to develop an efficient architecture. Recent technologies like Orthogonal Frequency Division Multiplexing (OFDM), Multiple-Input Multiple-Output (MIMO), Adaptive Modulation and Coding (MAC) and Dynamic Channel Allocation (DCA) improve the spectrum efficiency of wireless systems especially in broadband applications. The communication architecture addressed here encompasses principles from the above technologies and tries to prioritize the data from high quality streams over data from low quality streams, so that the overall perceptual quality of the received image is enhanced. The simulations performed on the Lena and baboon test images demonstrate that the received images have indeed better perceptual quality in the case when the above perceptual model is adopted when compared to a normal transmission scheme.
author2 A S Madhukumar
author_facet A S Madhukumar
Buddha, Sreenivas Kartik
format Final Year Project
author Buddha, Sreenivas Kartik
author_sort Buddha, Sreenivas Kartik
title An adaptive MIMO architecture for perceptually coded multimedia transmission through wireless channels
title_short An adaptive MIMO architecture for perceptually coded multimedia transmission through wireless channels
title_full An adaptive MIMO architecture for perceptually coded multimedia transmission through wireless channels
title_fullStr An adaptive MIMO architecture for perceptually coded multimedia transmission through wireless channels
title_full_unstemmed An adaptive MIMO architecture for perceptually coded multimedia transmission through wireless channels
title_sort adaptive mimo architecture for perceptually coded multimedia transmission through wireless channels
publishDate 2010
url http://hdl.handle.net/10356/39750
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