Search for dissertations about: "Signal estimation technique"
Showing result 1 - 5 of 97 swedish dissertations containing the words Signal estimation technique.
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1. The ubiquitous signal processing : Applications to communications, spectral analysis and array processing
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
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2. Signal Processing for Spectroscopic Applications
Abstract : Spectroscopic techniques allow for studies of materials and organisms on the atomic and molecular level. Examples of such techniques are nuclear magnetic resonance (NMR) spectroscopy—one of the principal techniques to obtain physical, chemical, electronic and structural information about molecules—and magnetic resonance imaging (MRI)—an important medical imaging technique for, e. READ MORE
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3. Exploiting Prior Information in Parametric Estimation Problems for Multi-Channel Signal Processing Applications
Abstract : This thesis addresses a number of problems all related to parameter estimation in sensor array processing. The unifying theme is that some of these parameters are known before the measurements are acquired. READ MORE
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4. Signal Processing Techniques in Mobile Communication Systems : Signal Separation, Channel Estimation and Equalization
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
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5. Model Reduction and Parameter Estimation for Diffusion Systems
Abstract : Diffusion is a phenomenon in which particles move from regions of higher density to regions of lower density. Many physical systems, in fields as diverse as plant biology and finance, are known to involve diffusion phenomena. Typically, diffusion systems are modeled by partial differential equations (PDEs), which include certain parameters. READ MORE