Search for dissertations about: "Audio signal processing"
Showing result 21 - 25 of 39 swedish dissertations containing the words Audio signal processing.
-
21. Infrastructure-free pedestrian localization
Abstract : Knowledge of your own and other's positions are frequently a prerequisite for acting, leading others, and interacting in and with the environment; to retrieve relevant information and to process and interpret it; and to understand, compile, and learn from observations of the surrounding and its dynamics. This holds for humans as well as for machines and systems made for supporting and controlling them. READ MORE
-
22. Recognition and Evaluation by Video Synthesis Methods and Symmetry Features
Abstract : Biometrics is being increasingly utilized for person authentication. It requires little or no efforts from the user as compared to traditional non-biometric systems where the user has to memorize PIN codes and passwords or carry pass cards and keys that can be easily forgotten or lost. READ MORE
-
23. Towards flexible audio coding
Abstract : thesis is about audio coding and improving flexibility thereof. Audio coding is used to reduce the bit rate needed to represent audio signals in digital format. When the available bit rate is low, parametric coding methods that use models to describe perceptually-important features of audio signals have shown their efficiency. READ MORE
-
24. 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
-
25. Sparse Modeling of Grouped Line Spectra
Abstract : This licentiate thesis focuses on clustered parametric models for estimation of line spectra, when the spectral content of a signal source is assumed to exhibit some form of grouping. Different from previous parametric approaches, which generally require explicit knowledge of the model orders, this thesis exploits sparse modeling, where the orders are implicitly chosen. READ MORE