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Sparse Regression Codes:Recent Results & Future Directions Ramji…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/itw13_sparc_talk.pdf5 Oct 2013: For finite input-alphabet channels & sources. 3 / 21. Achieving the Shannon limits. ... D. Compression performance with 1 dictionaries. Compression of finite alphabet sources. 18 / 21. -
Lossy Compression via Sparse Regression Ramji Venkataramanan Tuhin…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/isit13_talk.pdf5 Aug 2013: University of Cambridge IIT Bombay Yale University. ISIT 2013. 1 / 15. ... For finite-alphabet sources & channels. 3 / 15. Achieving the Shannon limits. -
Source and Channel Codes via Sparse Linear Regression Ramji ...
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/ita13_sparc_talk.pdf5 Aug 2013: University of Cambridge Yale University. ITA 2013. 1 / 20. GOAL : Efficient, rate-optimal codes for. ... For finite-alphabet sources & channels. 3 / 20. Achieving the Shannon limits. -
Sparse Regression Codes:Recent Results and Future Directions (Invited …
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/itw13_sparc.pdf5 Oct 2013: There are many communication settings where the sourceor channel alphabet is inherently continuous, notably AWGNchannels and Gaussian sources. ... In principle, this idea can be applied to channels/sourceswith discrete alphabets where addition is defined -
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 59, NO. 10, ...
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/IT_Oct13_bcfb.pdf5 Oct 2013: Venkataramanan is with the Department of Engineering, University of. Cambridge, Cambridge, CB2 1PZ, U.K. ... Section VIconcludes this paper. II. PROBLEM STATEMENT AND MAIN RESULT. A two-user discrete memoryless BC with generalized feed-back is a -
4F5: Advanced Wireless Communications - Handout 2: Review of Channel…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/4F5_2010/lecture_handout_2_1.pdf16 Dec 2013: Signal Processing and Communications LabDepartment of Engineering. University of Cambridge{albert.guillen,tobi.koch}@eng.cam.ac.uk. Lent 2011. ... Channel CodingChannel Definitions. Channel input X over alphabet X. Channel output Y over alphabet -
BAYESIAN MODELS FOR DNA SEQUENCING Nicholas M. Haan and ...
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/SJG/haan_godsill_icassp02.pdf15 Aug 2013: Godsill. Signal Processing GroupDepartment of Engineering, University of Cambridge, U.K. nmh28@cam.ac.uk, sjg@cam.ac.uk. ... 6] N. Haan. Statistical Models and Algorithms for DNA Sequenc-ing. PhD thesis, University of Cambridge, Dept. -
2154 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 53, NO. ...
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/IT_June07_scff.pdf5 Aug 2013: The encoding operation,however, remains as in [2], i.e., a mapping from the -productsource alphabet to an index set of size where is the rateof transmission. ... A code-tree for a system with binary source andreconstruction alphabets is shown in Fig. -
TCOM-09-0115.dvi
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/TCOM_July10.pdf5 Aug 2013: II. CHANNEL CODING WITH DELAYED FEEDBACK. Consider a channel with input alphabet 𝒳 and outputalphabet 𝒴. ... thesis,Massachusetts Institute of Technology, Cambridge, MA, Sep. 2000. [5] S. Tatikonda and S. -
Lossy Compression via Sparse Linear Regression:Computationally…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/isit13_final.pdf5 Aug 2013: of Engineering, Univ. of Cambridge. ramji.v@eng.cam.ac.uk. Tuhin SarkarDept. of EE, IIT Bombay. ... Forthis scheme, it is not known how rapidly the probability ofexcess distortion decays to zero with the overall block length.For sources with finite
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