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Achievable Rates for the Broadcast Channel withFeedback Ramji…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/isit_bc_talk.pdf5 Aug 2013: Can have more bins in A and B codebooks of a given size. ... S1 = E [S1S2] S2 Z. Common Resolution Information. - Quantize S2 to Ŝ2 with some distortion D- Set C = Ŝ2, A = B = φ. -
4F7 Spectrum Estimation Improving the Spectral Estimate Sumeetpal…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/4F7/improvingPeriodo.pdf16 Dec 2013: It would seem natural to try and improve the spec-trum estimate by performing some averaging in or-der to mimic the ensemble average above. ... The B-T method can reduce the variance of the peri-odogram estimate at the expense of some frequencyresolution. -
4F5: Advanced Wireless Communications - Handout 5: Low-Density…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/4F5_2010/lecture_slides_5_handout.pdf16 Dec 2013: I mcb =? for a degree-j check node if some of the j 1 incoming mbc =? qj = Pr{mcb =?|check node of degree j} = 1 “. 1 P(1)b”j1. I ... 6. 105. 104. 103. 102. 101. 100. Eb. N0(dB). P(100). b. -
Coding strategies for the uniform noise rewritablechannel with hidden …
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/rew_isit_final.pdf5 Aug 2013: where S is a hidden (unknown) state variable uniformlydistributed in [0,B], for some known B > 0. ... for some δ1 [0,1).This corresponds to switching once you detect that S is lessthan B(1δ1)2. -
Information-Theoretic Results on Communication Problems with…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/defense.pdf5 Oct 2013: 7 / 47. Source Coding with Feed-Forward. Feed-forward Decoder knows some of the past sourcesamples. ... rate. FF: decoder 2 knows past samples with some delay. Can help build correlation! -
Sparse Regression Codes:Recent Results and Future Directions (Invited …
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/itw13_sparc.pdf5 Oct 2013: For ourconstructions, we choose M = Lb for some b > 1 so that (1)implies. ... L log L = nR/b. (2). Thus L is now Θ (n/log n), and the number of columns MLin the dictionary A is now Θ. -
Typicality Graphs and Their Properties
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/ISIT10_typ_graphs.pdf5 Aug 2013: Some of the lemmas are similar to thoserequired to prove in [4, Theorem 1]. ... Hence we have that for some. k 2σδ. =2(nδn |X||Y| log(n 1)). -
Lossy Compression via Sparse Linear Regression:Computationally…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/isit13_final.pdf5 Aug 2013: SPARCs for lossy compression were first considered in[6] where some preliminary results were presented. ... If we choose M = Lb for some b > 0,(1) implies L = Θ(n/log n), and the number of operations persource sample is of the order (n/ log n)b1. -
ON-LINE BAYESIAN METHODS FOR ESTIMATION OFNON-LINEAR NON-GAUSSIAN…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/SJG/sequent_samsi.pdf15 Aug 2013: This avoids some cumbersome heavy typeface notations. 7. ON-LINE BAYESIAN METHODS FOR ESTIMATION OF NON-LINEAR NON-GAUSSIAN SIGNALS SIMON GODSILL. • ... RECENT DEVELOPMENTS. Some (biased!) pointers to recent advances in algorithms:. • Auxiliary -
Gaussian Rate-Distortion via Sparse LinearRegression over Compact…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/sparse_rd_isit_final.pdf5 Aug 2013: Sparse regression codes for compressing Gaussian sourceswere first considered in [3] where some preliminary resultswere presented. ... For ourconstructions, we choose M = Lb for some b > 1 so that (2)implies.
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