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A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks.
This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting school program for professionals with students from electrical engineering, physics, computer and data science, and mathematics backgrounds. It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays. Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series prediction and image classification.
Buy Advanced Signal Processing: A Concise Guide by Amir-Homayoon Najmi from Australia's Online Independent Bookstore, Boomerang Books.
Book DetailsISBN: 9781260458930
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