Browsing by Subject "Data compression"
Now showing items 1-7 of 7
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Article
Directed Information on Abstract Spaces: Properties and Variational Equalities
(2016)Directed information or its variants are utilized extensively in the characterization of the capacity of channels with memory and feedback, nonanticipative lossy data compression, and their generalizations to networks. In ...
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Conference Object
Efficient exploration of telco big data with compression and decaying
(IEEE Computer Society, 2017)In the realm of smart cities, telecommunication companies (telcos) are expected to play a protagonistic role as these can capture a variety of natural phenomena on an ongoing basis, e.g., traffic in a city, mobility patterns ...
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Article
Implementing the MPEG-21 adaptation quality of service in dynamic environments
(2006)MPEG-21 embeds the AQoS schema tool which describes and associates conceptually major utilities required during the adaptation process, for example, adaptation operators, constraints and qualities. Defining an AQoS model, ...
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Article
Medical imaging fusion applications: An overview
(2001)Computer aided fusion of multi modality medical images provides a very promising diagnostic tool with numerous clinical applications. The objective of this paper is to present an overview of medical imaging fusion techniques ...
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Conference Object
Performance and power optimization through data compression in Network-on-Chip architectures
(2008)
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Article
A process-calculus analysis of concurrent operations on B-trees
(2001)A general theory of interactive systems with changing structure, the π-calculus, is used to study concurrent operations on a variant of the B-tree. An improved algorithm for compression of the data structure is given. Some ...
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Conference Object
Rate distortion function with causal decoding
(2010)This paper considers source coding of general sources with memory, when causal feedback is available at the decoder. The rate distortion function is defined as the infimum of the so-called directed information over causal ...