RECONSTRUCTION OF SIGNALS FROM
IRREGULARLY SAMPLED DATA
by
Nagamohan Kompella mohi@erc.msstate.edu
Vamsidhar Juvvigunta vamsi@erc.msstate.edu
Balakrishna Nakshatrala balki@erc.msstate.edu
ABSTRACT
This project aims at the implementation of some of the available
algorithms for the reconstruction of irregularly sampled, band-limited
signals. These algorithms include the Adaptive Weights Method (ADPW), the
Projection onto Convex Sets (POCS) based method, and the Wiley/Marvasti
(WILMAR) method. This work deals with one dimensional signals. The algorithms
are tested on synthetic data generated by the computer as well as real
signals (audio signals are considered). The algorithms are compared based
on their speed of convergence and robustness. The influence of the auxilary
parameters specific to each method is also examined.
DEFINITION OF PROBLEM
SOLUTION STRATEGIES CONSIDERED
(All of them fall under the category of Iterative Reconstruction Algorithms)
ITERATIVE ALGORITHMS MADE EASY
ADPW
POCS
WILMAR
RESULTS
CONCLUSIONS
