Data for Logistic Map–Based Dynamic Chaotic Signals in the Presence of AWGN

This dataset contains synthetic dynamic chaotic signals generated using the logistic map and corrupted by additive white Gaussian noise. The data are intended for research and benchmarking in chaos-based signal modeling, nonlinear dynamics analysis, and machine learning experiments under noisy conditions. Number of records: 100. Each signal (row) contains 4096 samples. Signal to Noise ratio S/N: -13 dB, Normalized Signal to Noise ratio Eb/N0: +20dB. Target column: "symbol". Label 0: signal generated with bifurcation parameter r = 3.70. Label 1: signal generated with r = 3.75.