Sökning: "multi-component signals"
Visar resultat 1 - 5 av 6 avhandlingar innehållade orden multi-component signals.
Sammanfattning : Non-stationary signals are very common in nature, e.g. sound waves such as human speech, bird song and music. It is usually meaningful to describe a signal in terms of time and frequency. LÄS MER
2. Spectral Analysis for Signal Detection and Classification : Reducing Variance and Extracting Features
Sammanfattning : Spectral analysis encompasses several powerful signal processing methods. The papers in this thesis present methods for finding good spectral representations, and methods both for stationary and non-stationary signals are considered. LÄS MER
Sammanfattning : Long range channel prediction is a crucial technology for future wireless communications. The prediction of Rayleigh fading channels is studied in the frame of parametric modeling in this thesis.Suggested by the Jakes model for Rayleigh fading channels,deterministic sinusoidal models were adopted for long rangechannel prediction in early works. LÄS MER
Sammanfattning : Glial cell line-derived neurotrophic factor (GDNF) is the prototypical member of a family of growth factors that are indispensable in nervous system development and maintenance. GDNF signals by binding to a multi-component receptor complex comprised of the ligand-binding subunit GFRα1 and the signaling subunit RET or NCAM. LÄS MER
5. Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis
Sammanfattning : 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. LÄS MER