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Model-Based Processing: An Applied Subspace Identification Approach by James V.

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In addition, this resource features Enables readers to bridge the gap from statistical signal processing to subspace identification. Includes appendices, problem sets, case studies, examples, and notes for MATLAB Model-Based Processing: An Applied Subspace Identification Approach is essential reading for advanced undergraduate and graduate students of engineering and science as well as engineers working in industry and academia.

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