Search for dissertations about: "time-frequency estimation"

Showing result 1 - 5 of 17 swedish dissertations containing the words time-frequency estimation.

2. 1. 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

4. 2. Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis

   Author : Johan Brynolfsson; Statistical Signal Processing Group; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Time-Frequency Estimation; Parameter Estimation; Reassignment method; Non-Stationary Processes; Smooth spectral estimation; Neural Networks;

   Abstract : This thesis deals with estimation and classification problems of non-stationary processes in a few special cases.In paper A and paper D we make strong assumptions about the observed signal, where a specific model is assumed and the parameters of the model are estimated. READ MORE

5. 3. Statistical inference and time-frequency estimation for non-stationary signal classification

   Author : Rachele Anderson; Statistical Signal Processing Group; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Non-stationary processes; stochastic modeling; inference; spectral analysis; time-frequency analysis; classification; biomedical applications; deep learning;

   Abstract : This thesis focuses on statistical methods for non-stationary signals. The methods considered or developed address problems of stochastic modeling, inference, spectral analysis, time-frequency analysis, and deep learning for classification. READ MORE

6. 4. The Non-Linear Instantaneous Least Squares Approach to Signal Parameter Estimation

   Author : Jakob Ängeby; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; aliasing; polynomial-phase signals; synthetic aperture radar auto-focusing; non-linear least squares; time-frequency estimation; estimation theory; non-stationary processes; non-uniform sampling;

   Abstract : Estimation of parameters of non-stationary signals observed in noise is a challenging and difficult task, motivated by applications such as radar and mobile tele-communication. Here, a novel method for signal parameter estimation named the Non-linear Instantaneous Least Squares (NILS) approach is presented, which can be applied to linear and non-linear signals, and to both uniformly and non-uniformly sampled data. READ MORE

7. 5. Signal Characterization of Atrial Arrhythmias using the Surface ECG

   Author : Martin Stridh; Institutionen för elektro- och informationsteknik; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; Signal processing; Atrial fibrillation; Atrial arrhythmias; Frequency estimation; Time-frequency analysis; QRST cancellation; ECG;

   Abstract : This doctoral thesis is comprised of five parts which deal with different signal processing problems in ECG-based characterization of atrial arrhythmias. Such characterization requires that the ventricular activity has first been cancelled in the ECG. READ MORE