Sökning: "least-squares identification"
Visar resultat 16 - 20 av 47 avhandlingar innehållade orden least-squares identification.
16. Identification of Time Varying Systems and Application of System Identification to Signal Processing
Sammanfattning : Part IA new approach to identification of time varying systems is presented, and evaluated using computer simulations. The new approach is built upon the similarities between recursive least squares identification and Kalman filtering. LÄS MER
17. Signal identification for visual electrophysiological recordings. A comparison of signal analysis techniques and their application to clinical electrophysiology of vision
Sammanfattning : Aims: The aim of this thesis was to investigate the use of objective methods for the analysis of visual electrophysiological recordings. Specifically can signal identification algorithms identify electrophysiological signals and can they be applied to improve clinical testing and analysis? Methods: Automated signal identification algorithms were applied to multifocal electroretinogram (mfERG) and visual evoked potential (VEP) recordings. LÄS MER
18. On identification of endocrine systems
Sammanfattning : System identification finds nowadays application in various areas of biomedical research as a tool of empiric mathematical modeling and model individualization. Hormone regulation is a classical example of biological feedback where control theories, in general, and system identification, in particular, are indispensable in unraveling the regulation mechanisms and explicating the complex dynamical phenomena arising in endocrine systems. LÄS MER
19. On System Identification in one and two Dimensions with Signal Processing Applications
Sammanfattning : This thesis consists of four parts, with system identification as the common theme. The first part studies the asymptotic properties of two-dimensional identification methods. In the second part an approach to identification of time varying systems is presented. LÄS MER
20. On performance analysis of subspace methods in system identification and sensor array processing
Sammanfattning : This thesis addresses the issue of performance analysis of subspace-based parameter estimation methods in two different applications, namely system identification and sensor array processing. The objective is to study the quality of the estimated models as the amount of data increases, and to suggest improvements and give user guidelines. LÄS MER