Model-Based Processing

An Applied Subspace Identification Approach

af James V. (University of California Candy

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 statisti... (Læs mere)