Model-Based Processing: An Applied Subspace Identification Approach - Candy, James V (Wiley, 2019)
Keywords: Automatic control; Automatic control -- Mathematical models; Computing and Processing; General Topics for Engineers; Invariant subspaces; Signal processing; Signal processing -- Digital techniques -- Mathematics; Signal Processing and Analysis; model-based processing problems; subspace identification techniques; model-based processing guide; random signals; matrix decompositions; model-based processing case studies; model-based processing; state-space models; model-based processing textbook; model-based processing overview; subspace identification examples; subspace identification textbook; model-based processing methods; subspace identification applications; model-based processors; random systems; model-based processing concepts; model-based processing techniques; signal estimation; projection theory; model-based processing examples; subspace identification; deterministic subspace identification; subspace identification guide; subspace identification problems; model-based identification; subspace processors; subspace identification methods; stochastic subspace identification; parametrically adaptive processors