scholarly journals An Explicit Rate-Optimal Streaming Code for Channels with Burst and Arbitrary Erasures

Author(s):  
Elad Domanovitz ◽  
Silas L. Fong ◽  
Ashish Khisti
Keyword(s):  
1981 ◽  
Vol 18 (2) ◽  
pp. 390-402 ◽  
Author(s):  
Peter Breuer

A strong approximation theorem is proved for some non-stationary complex-valued Gaussian processes and an explicit rate of convergence is achieved. The result answers a problem raised by S. Csörgő.


2003 ◽  
Vol 76 (1) ◽  
pp. 24-47 ◽  
Author(s):  
Kenneth P. Laberteaux ◽  
Charles E. Rohrs ◽  
Panos J. Antsaklis

2018 ◽  
Vol 2020 (19) ◽  
pp. 6569-6595 ◽  
Author(s):  
Shigeki Akiyama ◽  
De-Jun Feng ◽  
Tom Kempton ◽  
Tomas Persson

Abstract We give an expression for the Garsia entropy of Bernoulli convolutions in terms of products of matrices. This gives an explicit rate of convergence of the Garsia entropy and shows that one can calculate the Hausdorff dimension of the Bernoulli convolution $\nu _{\beta }$ to arbitrary given accuracy whenever $\beta $ is algebraic. In particular, if the Garsia entropy $H(\beta )$ is not equal to $\log (\beta )$ then we have a finite time algorithm to determine whether or not $\operatorname{dim_H} (\nu _{\beta })=1$.


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