Search for dissertations about: "non-stationary random processes"

Showing result 1 - 5 of 6 swedish dissertations containing the words non-stationary random processes.

  2. 1. Ambiguity Domain Definitions and Covariance Function Estimation for Non-Stationary Random Processes in Discrete Time

    Author : Johan Sandberg; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : The ambiguity domain plays a central role in estimating the time-varying spectrum of a non-stationary random process in continuous time, since multiplication in this domain is equivalent with estimating the covariance function of the random process using an intuitively appealing estimator. For processes in discrete time there exists a corresponding covariance function estimator. READ MORE

  4. 2. Discrete Stochastic Time-Frequency Analysis and Cepstrum Estimation

    Author : Johan Sandberg; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; ambiguity domain; time-frequency analysis; time-frequency representations; covariance function; non-stationary random processes; Speaker recognition; MFCC; cepstrum;

    Abstract : The theory of stochastic time-frequency analysis of non-stationary random processes has mostly been developed for processes in continuous time. In practice however, random processes are observed, processed, and interpreted at a finite set of time points. READ MORE

  5. 3. Crossings and maxima in Gaussian fields and seas

    Author : Eva Sjö; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; operations research; Statistics; random waves; extremes; generalised Rice s formula; level-crossings; Gaussian random fields; programming; actuarial mathematics; Statistik; operationsanalys; programmering; aktuariematematik;

    Abstract : In this thesis the focus is on crossing points in random fields and the probability distributions of various crossing variables in different applications. The crossing points are generalisations to random fields of points of level crossings by stochastic processes. READ MORE

  6. 4. Radio Channel Prediction Based on Parametric Modeling

    Author : Ming Chen; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wireless communications; channel prediction; GLRT; CRLB; NLLS; polynomial phase signal; Kalman filter; NILS.; sinusoidal modeling; channel modeling; MIMO;

    Abstract : Long range channel prediction is a crucial technology for future wireless communications. The prediction of Rayleigh fading channels is studied in the frame of parametric modeling in this thesis.Suggested by the Jakes model for Rayleigh fading channels,deterministic sinusoidal models were adopted for long rangechannel prediction in early works. READ MORE

  7. 5. Stochastic modelling and analysis of early mouse development

    Author : Sofia Tapani; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; correlation; CUSUM; mouse; non-stationarity; pronucleus; stochastic differential equation; time series; wavelet decomposition; yeast; CUSUM;

    Abstract : The aim of this thesis is to model and describe dynamical events for biological cells using statistical and mathematical tools. The thesis includes five papers that all relate to stochastic modelling of cells. READ MORE