Sökning: "Statistical signal processing"

Visar resultat 1 - 5 av 121 avhandlingar innehållade orden Statistical signal processing.

  1. 1. The ubiquitous signal processing : Applications to communications, spectral analysis and array processing

    Författare :Erik G. Larsson; Björn Ottersten; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; digital signal processing; array processing; spectral analysis; incomplete data; wireless communications; space-time coding; synthetic aperture radar imaging; signal separation; estimation; detection; Signal processing; Signalbehandling; Signal Processing; Signalbehandling;

    Sammanfattning : This dissertation is concerned with statistical signal processing and its applications. The thesis consists of three parts: I) applications to wireless communications, II) applications to spectral analysis and III) applications to array processing. LÄS MER

  3. 2. Time-domain Reconstruction Methods for Ultrasonic Array Imaging : A Statistical Approach

    Författare :Fredrik Lingvall; Tadeusz Stepinski; Karl-Jörg Langenberg; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; Ultrasonic array imaging; synthetic aperture imaging; maximum a posteriori estimation; linear minimum mean squared error estimation; SAFT; Bayesian image reconstruction; Signalbehandling; Signal processing; Signalbehandling; Signal Processing; signalbehandling;

    Sammanfattning : This thesis is concerned with reconstruction techniques for ultrasonic array imaging based on a statistical approach. The reconstruction problem is posed as the estimation of an image consisting of scattering strengths. LÄS MER

  4. 3. Estimation Problems in Array Signal Processing, System Identification, and Radar Imagery

    Författare :Richard Abrahamsson; Peter Stoica; A. Lee Swindlehurst; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Parameter Estimation; Array Signal Processing; STAP; SAR; Ground Penetrating Radar; System Identification; Bilinear Models; Covariance Matrix Estimation; Signal processing; Signalbehandling; Signalbehandling; Signal Processing;

    Sammanfattning : This thesis is concerned with parameter estimation, signal processing, and applications. In the first part, imaging using radar is considered. More specifically, two methods are presented for estimation and removal of ground-surface reflections in ground penetrating radar which otherwise hinder reliable detection of shallowly buried landmines. LÄS MER

  5. 4. Model-based and matched-filterbank signal analysis

    Författare :Andreas Jakobsson; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; non-parametric spectral estimation; efficient implementations; array processing; parameter estimation; identifiability; subspace fitting; Signal processing; Signalbehandling; Signal Processing; Signalbehandling;

    Sammanfattning : The dissertation deals with model-based and matched-filterbank signal analysis. The matched-filterbank (MAFI) spectral estimation approach is introduced, and it is shown that both the amplitude spectrum Capon (ASC) and the amplitude and phase estimation (APES) spectral estimators can be expressed as MAFI spectral estimators. LÄS MER

  7. 5. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing

    Författare :Ted Kronvall; Statistical Signal Processing Group; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparse regression; group-sparsity; statistical modeling; regularization; hyperparameter-selection; spectral analysis; audio signal processing; classification; localization; multi-pitch estimation; chroma; convex optimization; ADMM; cyclic coordinate descent; proximal gradient;

    Sammanfattning : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. LÄS MER