Identification of Time-varying Processes in Signal Processing
* All three major approaches to time-varying identification: local estimation, the basis functions approach and the method based on Kalman filtering/smoothing.
* Analysis and comparison of tracking capabilities of different time-varying identification schemes.
* Discussion of all aspects of time-varying identification such as assessment of the estimation memory, estimation bandwidth and numerical stability of different identification algorithms and optimization of adaptive filters.
* Presentation of selected practical applications of time-varying process identification.
Essential reading for adaptive signal processing engineers, researchers, lecturers and senior electrical engineering and computer science students in telecommunications and signal processing