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On the Optimal Rate for Synchronization fromDeletions and Insertions…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/ita11_talk.pdf5 Aug 2013: T indicates positions of complementary insertions. T = (T1,T2,. ). Tj = 1 if Yj is a complementary insertion, otherwise Tj = 0. ... T = (T1,T2,. ). Tj = 1 if Yj is a complementary insertion, otherwise Tj = 0. -
MAXIMUM ENTROPY PROPERTY OF DISCRETE-TIME STABLE SPLINE KERNEL Tohid…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/TA417Publications/ArdeshiriC2015.pdf9 Apr 2015: Furthermore, let 0 tj < ti,. Var[g(ti) g(tj)] = E. ir=j1. ... h(tr)tr tr1. 2. =. ir=j1. λ(tr tr1) = λ(ti tj). (15). -
Bounds on the Optimal Rate for Synchronizationfrom Deletions and ...
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/ita_synch_sc.pdf5 Aug 2013: H(Tj|Tj1 Yj1Yj) =n(1 γ γiᾱ). n(1 i)h. (iᾱ. 1 γ γiᾱ. ). ... H(T|Y ) =mj=1. H(Tj|T j1 Y ). mj=1. H(Tj|Tj1, Yj1, Yj). = -
Maximum entropy properties of discrete-time first-order stable spline …
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/TA417Publications/ChenACCLP2014.pdf13 Apr 2015: Pi,j = K(ti, tj; α), i,j = 1, ,n, ti, tj T (7). ... eβ(tn1tn). eβtn1 eβtn , i = j = n,. 0, |i j| > 1 1eβ min{ti,tj}eβ max{ti,tj}. , -
Resolution Limit for Atomic Decompositions [5mm]
www-sigproc.eng.cam.ac.uk/foswiki/pub/SPARS2015/Program/talk26_GongguoTang_ResolutionLimit_SPARS.pdf2 Sep 2015: Spherical harmonics. Rank-1 tensors: a(u,v,w) = uv wTranslation-invariant signals: a(τ) = [h(tj τ)]nj=1Radar signals: a(τ,ν) = [ψ(tj τ)ei2πνtj ]nj=1Single-pole ... Define ω(t) = 2 if t /{a,b} and 1 otherwise. Adecomposition y =. j cja(tj) with -
isit_final_version.dvi
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/isit_synch_channels.pdf5 Aug 2013: TMn) where Tj = 1 if Yj is a complementaryinsertion, and Tj = 0 otherwise. ... SMn1). T Mn indicates the complementary inser-tions in Y Mn : Tj = 1 if Yj is a complementary insertion,and Tj = 0 otherwise. -
Multi-layer Sparse Matrix Factorization
www-sigproc.eng.cam.ac.uk/foswiki/pub/SPARS2015/Program/talk04_presLE_MAGOAROU.pdf2 Sep 2015: Multi-layer Sparse Matrix Factorization. Luc Le Magoarou Rémi Gribonval. InriaCentre Inria Rennes - Bretagne Atlantique. France. SPARS 2015. Outline. IntroductionMotivationFast transforms as sparse factorizationsObjectiveMulti-layer sparse benefits -
Multimedia Over Cognitive Radio Networks: Algorithms, Protocols, and…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/BIA23/BookChapter.pdf29 Apr 2016: Multimedia Over Cognitive Radio Networks: Algorithms,. Protocols, and Experiments. Fei Hu and Sunil Kumar. CRC Press - Taylor and Francis Group. ISBN 9781482214857 - CAT K21779. 2014. Chapter 1. Paving A Wider Way for Multimedia. Over Cognitive -
Improved Capacity Lower Bounds for Channelswith Deletions and…
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/indel_itw_final.pdf5 Aug 2013: TMn indicates the complementaryinsertions in Y Mn:Tj = 1 if Yj is a complementary insertion,and Tj = 0 otherwise. -
Time series modelling and inference with Bayesian Context Trees
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/IP307/thesis_ip307.pdf6 Jul 2023: Time series modelling and inferencewith Bayesian Context Trees. Ioannis Papageorgiou. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofDoctor of Philosophy. St John’s College June 2023. I would like
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