Chaotic signals reveal hidden patterns with groundbreaking convolutional distortion study.
Chaotic signals are important for describing real-world events and engineering tasks. Researchers studied how convolutional distortion affects two key aspects of chaotic signals: Lyapunov exponents and fractal dimension. They also developed a method to remove distortion from chaotic signal data.
