Eric Grivel

Eric Grivel is a Professor at the University of Bordeaux affiliated with the IMS Bordeaux (Integration Laboratory from Materials to Systems). His research focuses on

• Signal and Image Processing
• Spectral Analysis
• Stochastic Process Modeling

His work spans theoretical contributions to signal processing and practical applications in radar systems and biomedical signal analysis. Key trends in his recent publications include

• Optimization of Detrended Fluctuation Analysis (DFA) for Hurst exponent estimation
• Development of divergence metrics for comparing ARMA and Gaussian processes
• Waveform design in MIMO OFDM DFRC (Dual Function Radar-Communication) systems
• Integration of AI tools like ChatGPT in educational signal processing projects

Collaborations and industrial partnerships evident in his publications involve institutions such as

• Indian Institute of Science
• Thales Airborne Systems
• STMicroelectronics
• CEA Leti
• Slb (Schlumberger)