MATLAB Program for Phase Space Reconstruction of Chaotic Sequences
MATLAB implementation for singular value-based phase space reconstruction with parameter customization capabilities
Noise Compression for Chaotic Sequences
A noise compression program for chaotic sequences primarily based on Principal Component Analysis (PCA) method, demonstrating excellent denoising performance by removing 100% noise from simulated signals.
Calculating Kolmogorov Entropy and Lyapunov Exponents for Chaotic Sequence Identification
Implementation of Kolmogorov entropy calculation and Lyapunov exponent algorithms for determining whether a sequence exhibits chaotic behavior
Determining Optimal Time Delay for Chaotic Sequences Using Mutual Information Method
This method utilizes mutual information to compute optimal time delays for chaotic sequences, featuring detailed algorithm implementation with practical code examples for signal processing applications.
Image Encryption Using Chaotic Sequence Method
Image encryption implementation using chaotic sequences method, though without decryption source code, features excellent encryption performance through pseudorandom number generation - download to explore this robust protection technique.
MATLAB Implementation of Volterra Adaptive Prediction for Time Series Analysis
MATLAB program for Volterra adaptive prediction testing and chaotic sequence phase space reconstruction, featuring nonlinear system modeling and adaptive filtering algorithms
Chaotic Model Constructed Using Logistic Function
A chaotic model implemented through the logistic function that generates chaotic sequences, with the ability to produce sequences within arbitrary intervals through simple parameter modifications. This MATLAB-compatible code demonstrates the logistic map implementation with adjustable control parameters and output range scaling.
Generation of Three Types of PN Sequences
Code implementations for generating three types of pseudorandom noise sequences, including: M-sequences, Gold sequences, and chaotic sequences, with detailed algorithm explanations and application scenarios.
Denoising of Noisy Chaotic Time Series Using Phase Space Local Projection Method
Separating chaotic sequences from sinusoidal signals or denoising noisy chaotic time series through phase space local projection, with algorithm implementation insights including trajectory segmentation and signal reconstruction techniques.
Image Encryption Using Logistic Chaotic Mapping with Binary Data Conversion
This image encryption method based on Logistic chaotic mapping converts image data into binary format, generates chaotic sequences using the Logistic map, applies threshold-based binarization to create binary sequences, and implements encryption through logical operations between binary image data and chaotic binary sequences.