Sökning: "sinusoidal parameter estimation"
Visar resultat 1 - 5 av 7 avhandlingar innehållade orden sinusoidal parameter estimation.
1. Sparse Modeling Heuristics for Parameter Estimation - Applications in Statistical Signal Processing
Sammanfattning : This thesis examines sparse statistical modeling on a range of applications in audio modeling, audio localizations, DNA sequencing, and spectroscopy. In the examined cases, the resulting estimation problems are computationally cumbersome, both as one often suffers from a lack of model order knowledge for this form of problems, but also due to the high dimensionality of the parameter spaces, which typically also yield optimization problems with numerous local minima. LÄS MER
2. Spectral Analysis of Nonuniformly Sampled Data and Applications
Sammanfattning : Signal acquisition, signal reconstruction and analysis of spectrum of the signal are the three most important steps in signal processing and they are found in almost all of the modern day hardware. In most of the signal processing hardware, the signal of interest is sampled at uniform intervals satisfying some conditions like Nyquist rate. LÄS MER
3. Methods for Simulation and Characterization of Nonlinear Mechanical Structures
Sammanfattning : Trial and error and the use of highly time-consuming methods are often necessary for modeling, simulating and characterizing nonlinear dynamical systems. However, for the rather common special case when a nonlinear system has linear relations between many of its degrees of freedom there are particularly interesting opportunities for more efficient approaches. LÄS MER
4. Advanced Spectral Analysis with Applications
Sammanfattning : Spectral analysis has advanced the last decades as a signal processing tool to extract significant information about certain properties of measured data. The practical use of spectral analysis techniques in time-series analysis has been emphasized in the immense amount of previous literature in the field and by a rapidly growing number of applications. LÄS MER
5. Radio Channel Prediction Based on Parametric Modeling
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