Sökning: "recursive least squares RLS"
Visar resultat 1 - 5 av 6 avhandlingar innehållade orden recursive least squares RLS.
1. On Parameter Estimation and Control of Time-Varying Stochastic Systems
Sammanfattning : 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. LÄS MER
2. Combating Intersymbol Interference and Cochannel Interference in Wireless Communication Systems
Sammanfattning : 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. LÄS MER
3. Stereophonic Acoustic Echo Cancellation: Theory and Implementation
Sammanfattning : 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. LÄS MER
4. Adaptive Forgetting through Multiple Models and Adaptive Control of Car Dynamics
Sammanfattning : 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. LÄS MER
5. Teleconferencing, system identification and array processing
Sammanfattning : 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. LÄS MER