Sökning: "spectral estimation"
Visar resultat 16 - 20 av 147 avhandlingar innehållade orden spectral estimation.
16. Modeling and Sampling of Spectrally Structured Signals
Sammanfattning : This thesis consists of five papers concerned with the modeling of stochastic signals, as well as deterministic signals in stochastic noise, exhibiting different kinds of structure. This structure is manifested as the existence of finite-dimensional parameterizations, and/or in the geometry of the signals' spectral representations. LÄS MER
17. A convex optimization approach to complexity constrained analytic interpolation with applications to ARMA estimation and robust control
Sammanfattning : Analytical interpolation theory has several applications in systems and control. In particular, solutions of low degree, or more generally of low complexity, are of special interest since they allow for synthesis of simpler systems. LÄS MER
18. Event Based Sampling with Application to Spectral Estimation
Sammanfattning : In this thesis event based sampling, estimation of a single resonance frequency and the application indirect tire pressure monitoring system are studied.Event based sampling is an alternative to traditional uniform or equidistant sampling. In event based sampled systems, signals are sampled only when certain pre-defined events take place. LÄS MER
19. Non-intrusive instrumentation and estimation : Applications for control of an additive manufacturing process
Sammanfattning : For integration of additive manufacturing into industrial production, there is a need for capable yet robust automation solutions. Such solutions are to ensure consistent process outputs, both with regard to deposit geometry and material properties. LÄS MER
20. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing
Sammanfattning : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. LÄS MER