Compressive and Sparse Array Processing in Signal Processing

Join a comprehensive institute lecture by Prof. Geert Leus from TU Delft, Netherlands, exploring the evolving field of compressive and sparse array processing. Delve into fundamental models for array processing, examining digital beamforming and direction of arrival estimation techniques that extend beyond traditional subspace-based methods. Learn about modern approaches incorporating optimization theory and sparse signal processing, with special attention to both signal-based and covariance-based processing methods. Discover the principles of compressive and sparse array design, focusing on maximizing identifiability and performance-based optimization through convex and submodular methods. Understand how these advanced techniques are revolutionizing applications in massive MIMO communications, automotive radar, and acoustic imaging while reducing hardware costs and power consumption. Benefit from the expertise of Prof. Leus, a distinguished IEEE and EURASIP Fellow with extensive experience in signal processing, wireless communications, and array processing, as he shares insights from decades of research in this critical field.