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Model-Based Processing: An Applied Subspace Identification Approach
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A bridge between the application of subspace-based methods for parameter estimation in signal processing and subspace-based system identification in control systems
Model-Based Processing: An Applied Subspace Identification Approach provides expert insight on developing models for designing model-based signal processors (MBSP) employing subspace identification techniques to achieve model-based identification (MBID) and enables readers to evaluate overall performance using validation and st...