A new scientific manuscript was accepted in MDPI Journal of Applied Sciences with contributors from Sumy State University, RTU Communication Technologies Research Center and RTU Institute of Telecommunications – Toms Salgals, Sandis Spolitis and Vjaceslavs Bobrovs.
What is the paper about?
: In this paper, we propose a new method for the binomial adaptive compression of binary
sequences of finite length without loss of information. The advantage of the proposed binomial
adaptive compression method compared with the binomial compression method previously developed by the authors is an increase in the compression rate. This speed is accompanied in the
method by the appearance of a new quality—noise immunity of compression. The novelty of the
proposed method, which makes it possible to achieve these positive results, is manifested in the
adaptation of the compression ratio of compressible sequences to the required time, which is carried
out by dividing the initial set of binary sequences into compressible and incompressible sequences.
The method is based on the theorem proved by the authors on the decomposition of a stationary
Bernoulli source of information into the combinatorial and probabilistic source. The last of them
is the source of the number of units. It acquires an entropy close to zero and practically does not
affect the compression ratio at considerable lengths of binary sequences. Therefore, for the proposed
compression method, a combinatorial source generating equiprobable sequences is paramount since
it does not require a set of statistical data and is implemented by numerical coding methods. As
one of these methods, we choose a technique that uses binomial numbers based on the developed
binomial number system. The corresponding compression procedure consists of three steps. The first
is the transformation of the compressible sequence into an equilibrium combination, the second is its
transformation into a binomial number, and the third is the transformation of a binomial number
into a binary number. The restoration of the compressed sequence occurs in reverse order. In terms
of the degree of compression and universalization, the method is similar to statistical methods of
compression. The proposed method is convenient for hardware implementation using noise-immune
binomial circuits. It also enables a potential opportunity to build effective systems for protecting
information from unauthorized access.
More information about the manuscript can be found on the MDPI webpage.
Find out more on the research of the Institute of Telecommunications on the projects page and blog page related to research papers.