Search for dissertations about: "channel Coding Techniques"
Showing result 1 - 5 of 44 swedish dissertations containing the words channel Coding Techniques.
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1. Source-Channel Coding in Networks
Abstract : The aim of source coding is to represent information as accurately as possible using as few bits as possible and in order to do so redundancy from the source needs to be removed. The aim of channel coding is in some sense the contrary, namely to introduce redundancy that can be exploited to protect the information when being transmitted over a nonideal channel. READ MORE
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2. Source-channel coding for wireless networks
Abstract : The aim of source coding is to represent information as accurately as possible using as few bits as possible and in order to do so redundancy from the source needs to be removed. The aim of channel coding is in some sense the contrary, namely to introduce redundancy that can be exploited to protect the information when being transmitted over a nonideal channel. READ MORE
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3. Utilizing Channel State Information in Space-Time Coding : Performance Limits and Transmission Techniques
Abstract : This thesis deals with performance limits and transmissiontechniques for a wireless communication link where at least thetransmitter is equipped with an antenna array and moreover hasaccess to possibly imperfect channel state information.An antenna array on the transmit side provides the systemwith an extra spatial dimension that can be utilized for codingboth in the spatial as well as the temporal domain. READ MORE
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4. Source and Channel Coding for Audiovisual Communication Systems
Abstract : Topics in source and channel coding for audiovisual communication systems are studied. The goal of source coding is to represent a source with the lowest possible rate to achieve a particular distortion, or with the lowest possible distortion at a given rate. Channel coding adds redundancy to quantized source information to recover channel errors. READ MORE
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5. Source and Channel Coding for Compressed Sensing and Control
Abstract : Rapid advances in sensor technologies have fueled massive torrents of data streaming across networks. Such large volume of information, indeed, restricts the operational performance of data processing, causing inefficiency in sensing, computation, communication and control. READ MORE