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Showing result 1 - 5 of 311 swedish dissertations matching the above criteria.

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

   Author : Erik G. Larsson; Björn Ottersten; Uppsala universitet; []
   Keywords : 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;

   Abstract : 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. READ MORE

4. 2. Inverse problems in signal processing : Functional optimization, parameter estimation and machine learning

   Author : Pol del Aguila Pla; Joakim Jaldén; Yonina C. Eldar; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; inverse problems; signal processing; machine learning; biomedical imaging; optimization; proximal optimization; regularization; mathematical modeling; identifiability; likelihood; logconcavity; immunoassays; convolutional coding; functional analysis; abstract inference; learned iterations; unrolled algorithms; Electrical Engineering; Elektro- och systemteknik;

   Abstract : Inverse problems arise in any scientific endeavor. Indeed, it is seldom the case that our senses or basic instruments, i.e., the data, provide the answer we seek. READ MORE

5. 3. Parameter Estimation for Multisensor Signal Processing : Reduced Rank Regression, Array Processing and MIMO Communications

   Author : Karl Werner; Sergiy Vorobyov; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signal processing; Signalbehandling;

   Abstract : This thesis deals with three estimation problems motivated by spatial signal processing using arrays of sensors. All three problems are approached using tools from estimation theory, including asymptotical analysis of performance and Cramér-Rao lower bound; Monte Carlo methods are used to evaluate small sample performance. READ MORE

6. 4. Signal Processing Techniques in Mobile Communication Systems : Signal Separation, Channel Estimation and Equalization

   Author : Ronnie Landqvist; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; wireless mobile communications; signal processing; blind source separation; independent component analysis; beamforming; water filling; greedy algorithm; exact eigendecomposition; eigenvector algorithm; multiple-input multiple-output systems; the projection approximation subspace tracking algorithm with and without deflation; linear and non-linear principal component analysis; whitening; decorrelation; equalization; antenna arrays;

   Abstract : Over the last decade there has been an explosive growth in the use of wireless mobile communications. Second generations systems are mature technologies now and third generation systems and beyond are being implemented and researched. READ MORE

7. 5. Nonlinear Approaches to Periodic Signal Modeling

   Author : Emad Abd-Elrady; Torsten Söderström; Torbjörn Wigren; Jonas Sjöberg; Uppsala universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cramer-Rao bounds; frequency estimation; identification; limit cycle; nonlinear systems; periodic signals; Wiener model structure; Signal processing; Signalbehandling; Signalbehandling; Signal Processing;

   Abstract : Periodic signal modeling plays an important role in different fields. The unifying theme of this thesis is using nonlinear techniques to model periodic signals. The suggested techniques utilize the user pre-knowledge about the signal waveform. This gives these techniques an advantage as compared to others that do not consider such priors. READ MORE