Generating Chaotic Sequences Using Chaotic Theory Systems
Implementing chaotic theory systems to generate chaotic sequences and producing binary sequences through three distinct methodological approaches with code implementation details.
Explore MATLAB source code curated for "混沌序列" with clean implementations, documentation, and examples.
Implementing chaotic theory systems to generate chaotic sequences and producing binary sequences through three distinct methodological approaches with code implementation details.
This paper presents a Rubik's Cube-based encryption transformation for digital images utilizing chaotic sequences generated through logistic mapping from nonlinear dynamical systems. The implementation includes pseudocode demonstrations for chaotic sequence generation and pixel permutation algorithms.
MATLAB source code for color image encryption program combining Arnold image scrambling with Logistic chaotic sequence generation
Generation of Three Types of PN Sequences with Algorithm Explanations and Implementation Approaches
Chaotic sequence-based image encryption technique with MATLAB implementation details