Sökning: "Inverse identification"
Visar resultat 1 - 5 av 73 avhandlingar innehållade orden Inverse identification.
1. Hidden Markov models : Identification, control and inverse filtering
Sammanfattning : The hidden Markov model (HMM) is one of the workhorse tools in, for example, statistical signal processing and machine learning. It has found applications in a vast number of fields, ranging all the way from bioscience to speech recognition to modeling of user interactions in social networks. LÄS MER
2. Hidden Markov Models: Identification, Inverse Filtering and Applications
Sammanfattning : A hidden Markov model (HMM) comprises a state with Markovian dynamics that is hidden in the sense that it can only be observed via a noisy sensor. This thesis considers three themes in relation to HMMs, namely, identification, inverse filtering and applications. LÄS MER
3. Inverse system identification with applications in predistortion
Sammanfattning : Models are commonly used to simulate events and processes, and can be constructed from measured data using system identification. The common way is to model the system from input to output, but in this thesis we want to obtain the inverse of the system. LÄS MER
4. Inverse Identification of Dynamic Wheel-rail Contact Forces
Sammanfattning : Accurate evaluation of contact forces between wheel and rail is essential in the assessmentof vehicle performance and to predict consequences of dynamic vehicle-track interaction.As the contact forces can not be measured directly in the field, one common approachis to measure the strain or acceleration at various positions on a wheel or wheel axle. LÄS MER
5. Structural Reformulations in System Identification
Sammanfattning : In system identification, the choice of model structure is important and it is sometimes desirable to use a flexible model structure that is able to approximate a wide range of systems. One such model structure is the Wiener class of systems, that is, systems where the input enters a linear time-invariant subsystem followed by a time-invariant nonlinearity. LÄS MER