WebNov 11, 2013 · The proof is nearly identical to that of Theorem 2, except that we replace Fano's inequality by its counterpart for approximate recovery, analogously to previous works on problems such as support ... WebOct 21, 2011 · The inequality that became known as the Fano inequality pertains to a model of communications system in which a message selected from a set of \(N\) possible messages is encoded into an input signal for transmission through a noisy channel and the resulting output signal is decoded into one of the same set of possible messages. …
Fano
WebAbout Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features NFL Sunday Ticket Press Copyright ... WebThen, Fano’s inequality tells us that H(E)+plogk≥ H(X Y) H ( E) + p log k ≥ H ( X Y) where H(X Y) H ( X Y) is the conditional entropy of X X given Y Y. This in turn implies a weaker result, namely p≥ H(X Y)−1 logk p ≥ H ( X Y) − 1 log k since the entropy of the binary event E E is at most 1. green chilis near me
Minimax Lower Bounds - University of California, …
Web1 Fano’s inequality We first prove an important inequality that lets us understand how well can some “ground truth” random variable X be predicted based on some observed … 1 Proof. 2 Alternative formulation. 3 Generalization. 4 References. Toggle the table of contents Toggle the table of contents. Fano's inequality. 5 languages. Français; Italiano; ... In information theory, Fano's inequality (also known as the Fano converse and the Fano lemma) ... See more In information theory, Fano's inequality (also known as the Fano converse and the Fano lemma) relates the average information lost in a noisy channel to the probability of the categorization error. It was derived by See more The following generalization is due to Ibragimov and Khasminskii (1979), Assouad and Birge (1983). Let F be a class of … See more Define an indicator random variable $${\displaystyle E}$$, that indicates the event that our estimate $${\displaystyle {\tilde {X}}=f(Y)}$$ is in error, Consider $${\displaystyle H(E,X {\tilde {X}})}$$. … See more WebThe derivation of this version of Fano's inequality can be found in appendix A of The Wire-Tap Channel by A. D. Wyner from 1975 in Bell System Technical Journal. A direct link to a pdf Share flow modell