Sökning: "inverse models"

Visar resultat 1 - 5 av 239 avhandlingar innehållade orden inverse models.

  1. 1. Hidden Markov models : Identification, control and inverse filtering

    Författare :Robert Mattila; Bo Wahlberg; Eric Moulines; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; hidden markov models; system identification; method of moments; inverse filtering; abdominal aortic aneurysm; medical; markov decision process; structure; Electrical Engineering; Elektro- och systemteknik;

    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

  3. 2. Models in Neutrino Physics : Numerical and Statistical Studies

    Författare :Johannes Bergström; Tommy Ohlsson; Pilar Hernandez; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Neutrino mass; lepton mixing; Majorana neutrinos; neutrino oscillations; neutrinoless double beta decay; statistical methods; Bayesian inference; model selection; effective field theory; Weinberg operator; seesaw models; inverse seesaw; right-handed neutrinos; renormalization group; threshold effects.; Neutrinomassor; leptonblandning; Majorananeutriner; neutrinooscillationer; neutrinol¨ost dubbelt betas¨onderfall; statistiska metoder; Bayesisk inferens; modellval; effektiv f¨altteori; Weinbergoperator; seesawmodeller; invers seesaw; högerhänta neutriner; renormeringsgrupp; tröskeleffekter.;

    Sammanfattning : The standard model of particle physics can excellently describe the vast majorityof data of particle physics experiments. However, in its simplest form, it cannot account for the fact that the neutrinos are massive particles and lepton flavorsmixed, as required by the observation of neutrino oscillations. LÄS MER

  4. 3. Hidden Markov Models: Identification, Inverse Filtering and Applications

    Författare :Robert Mattila; Bo Wahlberg; Cristian R. Rojas; John Lygeros; Jan H. van Schuppen; Tobias Rydén; Ayca Özcelikkale; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; hidden Markov models; HMM; inverse filtering; identification; estimation; method of moments; counter-adversarial autonomous systems; adversarial signal processing; belief estimation; abdominal aortic aneurysm; medical; Electrical Engineering; Elektro- och systemteknik;

    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

  5. 4. Predictions of Effective Models in Neutrino Physics

    Författare :Johannes Bergström; Tommy Ohlsson; Rikard Enberg; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Neutrino mass; lepton mixing; Majorana neutrinos; effective field theory; Weinberg operator; seesaw models; low-scale seesaw models; inverse seesaw; right-handed neutrinos; renormalization group; threshold effects; neutrinoless double beta decay; Elementary particle physics; Elementarpartikelfysik;

    Sammanfattning : Experiments on neutrino oscillations have confirmed that neutrinos have small, but non-zero masses, and that the interacting neutrino states do not have definite masses, but are mixtures of such states.The seesaw models make up a group of popular models describing the small neutrino masses and the corresponding mixing. LÄS MER

  7. 5. Inverse system identification with applications in predistortion

    Författare :Ylva Jung; Martin Enqvist; Lennart Ljung; Torkel Glad; Thomas Eriksson; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; system identification; inverse models; signal processing; power amplifiers; predistortion; communication electronics;

    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