Search for dissertations about: "linear prediction"
Showing result 1 - 5 of 315 swedish dissertations containing the words linear prediction.
-
1. Linear Modeling and Prediction in Diabetes Physiology
Abstract : Diabetes Mellitus is a chronic disease characterized by the inability of the organism to autonomously regulate the blood glucose level due to insulin deficiency or resistance, leading to serious health damages. The therapy is essentially based on insulin injections and depends strongly on patient daily decisions, being mainly based upon empirical experience and rules of thumb. READ MORE
-
2. On Estimation and Prediction in Linear Mixed Models : A new approach to studying equal BLUEs and BLUPs
Abstract : Linear mixed models (LMMs) are widely used to analyze repeated, longitudinal, or clustered data in many disciplines, such as biology, medicine, psychology, sociology, economics, etc. One of the essential components of a linear mixed model is its covariance structure, i.e. READ MORE
-
3. Prediction of Mobile Radio Channels : Modeling and Design
Abstract : Prediction of the rapidly fading envelope of a mobile radio channel enables a number of capacity improving techniques like fast resource allocation and fast link adaptation. This thesis deals with linear prediction of the complex impulse response of a channel and unbiased quadratic prediction of the power. READ MORE
-
4. Diabetes Mellitus Glucose Prediction by Linear and Bayesian Ensemble Modeling
Abstract : Diabetes Mellitus is a chronic disease of impaired blood glucose control due to degraded or absent bodily-specific insulin production, or utilization. To the affected, this in many cases implies relying on insulin injections and blood glucose measurements, in order to keep the blood glucose level within acceptable limits. READ MORE
-
5. Channel Estimation and Prediction for 5G Applications
Abstract : Accurate channel state information (CSI) is important for many candidate techniques of future wireless communication systems. However, acquiring CSI can sometimes be difficult, especially if the user equipment is mobile in which case the future channel realisations must be estimated/predicted. READ MORE