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This work presents an in-depth study on the Direction of Arrival (DOA) estimation methods for underwater acoustic broadband signals, addressing the challenges posed by complex marine environments and the need for accurate signal processing in various applications such as sonar systems, underwater communication, and ocean exploration. The research encompasses traditional DOA estimation techniques, the integration of vector hydrophones, and the application of deep learning methodologies to enhance the accuracy and efficiency of DOA estimation in underwater environments.

The seminal 1989 work of Douglas and Paulsen on the theory of Hilbert modules over function algebras precipitated a number of major research efforts. This in turn led to some intriguing and valuable results, particularly in the areas of operator theory and functional analysis. With the field now beginning to blossom, the time has come to collect those results in one volume. Written by two of the most active and often-cited researchers in the field, Analytic Hilbert Modules offers a clear, logical survey of recent developments, including advances made by authors and others. It provides...