Search for dissertations about: "recursive least squares RLS"
Showing result 1 - 5 of 6 swedish dissertations containing the words recursive least squares RLS.
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1. On Parameter Estimation and Control of Time-Varying Stochastic Systems
Abstract : This thesis is about parameter estimation and control of time-varying stochastic systems. It can be divided into two parts. The first part deals with an estimation algorithm commonly used when estimating parameters in time-varying stochastic systems, the Recursive Least Squares (RLS) algorithm with forgetting factor. READ MORE
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2. 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
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3. Stereophonic Acoustic Echo Cancellation: Theory and Implementation
Abstract : The thesis treats theory and implementation aspects for stereophonic acoustic echo cancellation. In Paper I a complete implementation of a stereophonic acoustic echo canceler based on the two-channel fast recursive least-squares algorithm is presented. READ MORE
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4. Adaptive Forgetting through Multiple Models and Adaptive Control of Car Dynamics
Abstract : A new recursive identif ication method, Adaptive Forgetting through Multiple Models - AFMM, is presented and evaluated using computer simulations. AFMM is specif ically suited for identification of systems with jumping or rapidly changing parameters. READ MORE
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5. Teleconferencing, system identification and array processing
Abstract : The area of teleconferencing has long yielded great interest in the signal processing community. The main reasons for this are probably the huge interest from the industry and the challenging problems of the topic. The problems of teleconferencing are relevant for several different disciplines in signal processing. READ MORE