Achieving positive rates with predetermined dictionaries

12/20/2020
by   Ghurumuruhan Ganesan, et al.
0

In the first part of the paper we consider binary input channels that are not necessarily stationary and show how positive rates can be achieved using codes constrained to be within predetermined dictionaries. We use a Gilbert-Varshamov-like argument to obtain the desired rate achieving codes. Next we study the corresponding problem for channels with arbitrary alphabets and use conflict-set decoding to show that if the dictionaries are contained within nice sets, then positive rates are achievable.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/06/2022

On the Performance of Reed-Muller Codes Over (d,∞)-RLL Input-Constrained BMS Channels

This paper considers the input-constrained binary memoryless symmetric (...
research
11/14/2018

Rice-Marlin Codes: Tiny and Efficient Variable-to-Fixed Codes

Marlin is a Variable-to-Fixed (VF) codec optimized for high decoding spe...
research
02/09/2021

Constrained Secrecy Capacity of Partial-Response Wiretap Channels

We consider reliable and secure communication over partial-response wire...
research
06/09/2022

Hinted Dictionaries: Efficient Functional Ordered Sets and Maps

This article introduces hinted dictionaries for expressing efficient ord...
research
11/10/2022

Coding Schemes Based on Reed-Muller Codes for (d,∞)-RLL Input-Constrained Channels

The paper considers coding schemes derived from Reed-Muller (RM) codes, ...
research
06/28/2021

Improved Convergence Rates for the Orthogonal Greedy Algorithm

We analyze the orthogonal greedy algorithm when applied to dictionaries ...

Please sign up or login with your details

Forgot password? Click here to reset