Sökning: "filter parameter"
Visar resultat 1 - 5 av 95 avhandlingar innehållade orden filter parameter.
1. Processing Aspects for Improving Mechanical Properties in Aluminium Castings
Sammanfattning : The relation between the process and mechanical properties in aluminium alloys for castings has been examined. The relation was hard to define since the spread in data was severe due to defects created in the casting process. To avoid such defects a gradient solidification equipment was built. LÄS MER
2. Functional Hodrick-Prescott Filter
Sammanfattning : The study of functional data analysis is motivated by their applications in various fields of statistical estimation and statistical inverse problems.In this thesis we propose a functional Hodrick-Prescott filter. This filter is applied to functional data which take values in an infinite dimensional separable Hilbert space. LÄS MER
3. Parameter and State Estimation with Information-rich Signals
Sammanfattning : The complexity of industrial systems and the mathematical models to describe them increases. In many cases, point sensors are no longer sufficient to provide controllers and monitoring instruments with the information necessary for operation. The need for other types of information, such as audio and video, has grown. LÄS MER
4. Estimation of Nonlinear Dynamic Systems : Theory and Applications
Sammanfattning : This thesis deals with estimation of states and parameters in nonlinear and non-Gaussian dynamic systems. Sequential Monte Carlo methods are mainly used to this end. These methods rely on models of the underlying system, motivating some developments of the model concept. LÄS MER
5. Parameter Estimation and Filtering Using Sparse Modeling
Sammanfattning : Sparsity-based estimation techniques deal with the problem of retrieving a data vector from an undercomplete set of linear observations, when the data vector is known to have few nonzero elements with unknown positions. It is also known as the atomic decomposition problem, and has been carefully studied in the field of compressed sensing. LÄS MER