Sökning: "continuous and discrete models"
Visar resultat 1 - 5 av 110 avhandlingar innehållade orden continuous and discrete models.
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. Continuous Models for Cameras and Inertial Sensors
Sammanfattning : Using images to reconstruct the world in three dimensions is a classical computer vision task. Some examples of applications where this is useful are autonomous mapping and navigation, urban planning, and special effects in movies. LÄS MER
3. Pharmacometric Methods and Novel Models for Discrete Data
Sammanfattning : Pharmacodynamic processes and disease progression are increasingly characterized with pharmacometric models. However, modelling options for discrete-type responses remain limited, although these response variables are commonly encountered clinical endpoints. Types of data defined as discrete data are generally ordinal, e.g. LÄS MER
4. Probabilistic Sequence Models with Speech and Language Applications
Sammanfattning : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. LÄS MER
5. Continuous-time System Identification : Refined Instrumental Variables and Sampling Assumptions
Sammanfattning : Continuous-time system identification deals with the problem of building continuous-time models of dynamical systems from sampled input and output data. There are two main approaches in this field: indirect and direct. In the indirect approach, a suitable discrete-time model is first determined, and then it is transformed into continuous-time. LÄS MER