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In addition, this resource features Enables readers to bridge the gap from statistical signal processing to subspace identification. 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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