Sökning: "non-stationary signals"

Visar resultat 1 - 5 av 17 avhandlingar innehållade orden non-stationary signals.

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

    Detta är en avhandling från Media-Tryck, Lund University, Sweden

    Författare :Rachele Anderson; Lunds universitet.; Lund University.; Lund University.; Lunds universitet.; Lund University.; [2019-09-09]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Non-stationary processes; stochastic modeling; inference; spectral analysis; time-frequency analysis; classification; biomedical applications; deep learning;

    Sammanfattning : En signal är en fysisk kvantitet som varierar med någon oberoende variabel, t.ex. tid eller rum, som förmedlar information. En signal vars statistiska egenskaper är konstant i tid kallas stationär, medan signaler vars egenskaper varierar med tiden kallas icke-stationära, vilket är de vanligaste i naturen. LÄS MER

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

    Detta är en avhandling från Centre for Mathematical Sciences, Lund University

    Författare :Johan Brynolfsson; Lunds universitet.; Lund University.; Lund University.; Lunds universitet.; Lund University.; [2019-05-17]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Time-Frequency Estimation; Parameter Estimation; Reassignment method; Non-Stationary Processes; Smooth spectral estimation; Neural Networks;

    Sammanfattning : 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. LÄS MER

  3. 3. High resolution time-frequency representations

    Detta är en avhandling från Lund University / Centre for Mathematical Sciences /LTH

    Författare :Isabella Reinhold; Lunds universitet.; Lund University.; Lund University.; [2017]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; time-frequency analysis; non-stationary signals; multi-component signals; IF estimation; reassignment;

    Sammanfattning : Non-stationary signals are very common in nature, e.g. sound waves such as human speech, bird song and music. It is usually meaningful to describe a signal in terms of time and frequency. LÄS MER

  4. 4. Filter Bank Techniques for Signal and Image Processing

    Detta är en avhandling från Lund University / Centre for Mathematical Sciences /LTH

    Författare :Farook Sattar; [1996]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Imaging; Higher-order statistics; Detection; Echo cancelling; Multirate system; Multiscale; Image enhancement; Time-frequency analysis and synthesis; Non-stationary signals; Filter bank; Non-parametric estimation; image processing; Bildbehandling; Signal processing; Signalbehandling;

    Sammanfattning : This thesis consists of five parts, each of which considers methods based on filter banks for different applications in signal and image processing. In Part I, a non-parametric estimation method is proposed using filter banks to estimate signals with varying waveforms and arrival times. LÄS MER

  5. 5. Modelling and Inference using Locally Stationary Processes : Biomedical applications

    Detta är en avhandling från Lund University, Faculty of Science, Centre for Mathematical Sciences, Mathematical Statistics

    Författare :Rachele Anderson; Lunds universitet.; Lund University.; Lund University.; [2017-11]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Modelling of Time-Varying Signals; Locally Stationary Processes; Statistical Inference; Time-frequency Estimation; Regression; EEG Signals; HRV Signals;

    Sammanfattning : This thesis considers statistical methods for non-stationary signals, specifically stochastic modelling, inference on the model parameters and optimal spectral estimation. The models are based on Silverman’s definition of Locally Stationary Processes (LSPs). LÄS MER