An algorithm was developed to extract basis functions from the chaotic Lorenz system, focusing on all three state variables. This allows for the creation of engineered test signals for radar and communication waveforms. The algorithm provides a method for modifying chaotic waveforms to improve time-series forecasting accuracy. The results offer tools for analyzing predicted amplitudes and timing in chaotic systems.