Advanced search
Showing result 1 - 5 of 21 swedish dissertations matching the above criteria.
-
1. Combating Intersymbol Interference and Cochannel Interference in Wireless Communication Systems
Abstract : Over the last decade the world has witnessed explosive growth in the use of wireless mobile communications. Looking around we find users with mobile phones, wireless PDAs, pagers, MP3 players, and wireless headphones to connect to these devices - a small testament of the impact of wireless communications on our daily lives. READ MORE
-
2. Statistical Calibration Algorithms for Lidars
Abstract : Robots are becoming increasingly available and capable, are becoming part of everyday life in applications: robots that guide blind or mentally handicapped people, robots that clean large office buildings and department stores, robots that assist people in shopping, recreational activities, etc.Localization, in the sense of understanding accurately one's position in the environment, is a basic building block for performing important tasks. READ MORE
-
3. Phase Noise Tolerant Modulation Formats and DSP Algorithms for Coherent Optical Systems
Abstract : Coherent detection together with multilevel modulation formats has the potential to significantly increase the capacity of existing optical communication systems at no extra cost in signal bandwidth. However, these modulation formats are more susceptible to the impact of different noise sources and distortions as the distance between its constellation points in the complex plane reduces with the modulation index. READ MORE
-
4. Adaptive blind deconvolution using third-order moments : exploiting asymmetry
Abstract : This thesis focuses on the use of third-order statistics in adaptive blind deconvolution of asymmetric impulsive signals. Traditional methods are typically based on fourthorder moments, which can discriminate signals with heavy-tailed probability functions (i.e. `spiky' signals) from corresponding filtered versions. READ MORE
-
5. Blind Signal Separation by Second Order Statistics
Abstract : The problem of separating uncorrelated signals from equally many observed mixtures is considered in this thesis. Each observed signal is modeled as a sum of original signals filtered through unknown linear filters. READ MORE