Recursive identification for FIR systems with interval binary observations

Key Points

• The recursive identification approach successfully models FIR systems with interval binary observations, enhancing signal processing techniques.
• Using this method, the identification process can adapt dynamically to binary data inputs, leading to more accurate models.
• Observational analysis focused on the performance of algorithmic techniques in FIR systems with binary observations.
• This work highlights the potential for improved system control, encouraging further exploration in practical applications.