Sökning: "Frequency domain estimation"
Visar resultat 1 - 5 av 82 avhandlingar innehållade orden Frequency domain estimation.
1. Frequency Domain Identification of Continuous-Time Systems : Reconstruction and Robustness
Sammanfattning : Approaching parameter estimation from the discrete-time domain is the dominating paradigm in system identification. Identification of continuous-time models on the other hand is motivated by the fact that modelling of physical systems often take place in continuous-time. LÄS MER
2. Model Reduction and Parameter Estimation for Diffusion Systems
Sammanfattning : Diffusion is a phenomenon in which particles move from regions of higher density to regions of lower density. Many physical systems, in fields as diverse as plant biology and finance, are known to involve diffusion phenomena. Typically, diffusion systems are modeled by partial differential equations (PDEs), which include certain parameters. LÄS MER
3. Dynamics and Extreme Value Problems for Moored Floating Platforms
Sammanfattning : This research deals with the dynamic response analyses and extreme value problems of moored floating platforms. It can be divided into three major subjects: first, the analysis of single cables and cable induced mooring damping; second, the dynamic analysis of the moored platforms, with special emphasis on the damping mechanisms and generation of the low-frequency excitation force time series; and third, the extreme wave-frequency responses and the combination of the low-frequency and wave-frequency extreme responses. LÄS MER
4. Discrete Stochastic Time-Frequency Analysis and Cepstrum Estimation
Sammanfattning : The theory of stochastic time-frequency analysis of non-stationary random processes has mostly been developed for processes in continuous time. In practice however, random processes are observed, processed, and interpreted at a finite set of time points. LÄS MER
5. Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis
Sammanfattning : This thesis deals with estimation and classification problems of non-stationary processes in a few special cases.In paper A and paper D we make strong assumptions about the observed signal, where a specific model is assumed and the parameters of the model are estimated. LÄS MER