A Unified Framework for Linear Network Coding
نویسندگان
چکیده
منابع مشابه
Linear Network Codes: A Unified Framework for Source, Channel, and Network Coding
We examine the issue of separation and code design for network data transmission environments. We demonstrate that source-channel separation holds for several canonical network channel models when the whole network operates over a common finite field. Our approach uses linear codes. This simple, unifying framework allows us to re-establish with economy the optimality of linear codes for single ...
متن کاملLinear Network Codes: A Unified Framework for Source, Channel, and Network Coding
This report is a summary of the issue of separation and code design for network data transmission environments, as discussed in the paper by Effros et al. [1]. It is often considered that the failure of source-channel separation in network environments is a crucial obstacle in applying information theoretic tools in networks. However, with a consistent framework for digital networks, the source...
متن کاملA unified rate-distortion analysis framework for transform coding
In our previous work, we have developed a rate-distortion (R-D) modeling framework H.263 video coding by introducing the new concepts of characteristic rate curves and rate curve decomposition. In this paper, we further show it is a unified R-D analysis framework for all typical image/video transform coding systems, such as EZW, SPIHT and JPEG image coding; MPEG-2, H.263, and MPEG-4 video codin...
متن کاملA Multilevel Framework for Lattice Network Coding
We present a general framework for studying the multilevel structure of lattice network coding (LNC), whichserves as the theoretical fundamental for solving the ring-based LNC problem in practice, with greatly reduceddecoding complexity. Building on the framework developed, we propose a novel lattice-based network codingsolution, termed layered integer forcing (LIF), which appli...
متن کاملA Unified Framework for Quasi-Linear Bundle Adjustment
Obtaining 3D models from long image sequences is a major issue in computer vision. One of the main tools used to obtain accurate structure and motion estimates is bundle adjustment. Bundle adjustment is usually performed using nonlinear Newton-type optimizers such as Levenberg-Marquardt which might be quite slow when handling a large number of points or views. We investigate an algorithm for bu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Information Theory
سال: 2011
ISSN: 0018-9448,1557-9654
DOI: 10.1109/tit.2010.2090216