A Coder-Decoder model for use in Lossless Data Compression
Alex Papalexis

TL;DR
This paper introduces a novel lossless data compression method using a trigonometric and combinatorial coding technique that transforms binary sequences into three real numbers for precise reconstruction.
Contribution
It presents a new coding approach that encodes binary data into three real numbers, enabling efficient lossless compression and exact data recovery.
Findings
Achieves lossless data reconstruction with high accuracy
Transforms binary sequences into a compact real number representation
Proposes a potentially more efficient compression model
Abstract
This article describes a technique of using a trigonometric function and combinatorial calculations to code or transform any finite sequence of binary numbers (0s and 1s) of any length to a unique set of three Real numbers. In reverse, these three Real numbers can be used independently to reconstruct the original Binary sequence precisely. The main principles of this technique are then applied in a proposal for a highly efficient model for Lossless Data Compression.
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Taxonomy
TopicsNumerical Methods and Algorithms · Computational Physics and Python Applications · Computability, Logic, AI Algorithms
