Search for dissertations about: "spectrum estimation"
Showing result 1 - 5 of 113 swedish dissertations containing the words spectrum estimation.
-
1. Estimation Using Low Rank Signal Models
Abstract : Designing estimators based on low rank signal models is a common practice in signal processing. Some of these estimators are designed to use a single low rank snapshot vector, while others employ multiple snapshots. This dissertation deals with both these cases in different contexts. READ MORE
-
2. Aspects of Electrical Bioimpedance Spectrum Estimation
Abstract : Electrical bioimpedance spectroscopy (EBIS) has been used to assess the status or composition of various types of tissue, and examples of EBIS include body composition analysis (BCA) and tissue characterisation for skin cancer detection. EBIS is a non-invasive method that has the potential to provide a large amount of information for diagnosis or monitoring purposes, such as the monitoring of pulmonary oedema, i. READ MORE
-
3. Subspace-Based Parameter Estimation Problems in Signal Processing
Abstract : The effects of multipath-induced angular spread and non-zero band-width on narrow-band direction-of-arrival (DOA) estimation are investigated. In both cases expressions for the resulting estimation error are developed for the MUSIC, ESPRIT and WSF DOA estimators. READ MORE
-
4. Estimation and detection of transmission line characteristics in the copper access network
Abstract : The copper access-network operators face the challenge of developing and maintaining cost-effective digital subscriber line (DSL) services that are competitive to other broadband access technologies. The way forward is dictated by the demand of ever increasing data rates on the twisted-pair copper lines. READ MORE
-
5. Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis
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