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.

         



SOLUTION STRATEGIES CONSIDERED

          (All of them fall under the category of Iterative Reconstruction Algorithms)


ITERATIVE ALGORITHMS MADE EASY


ADPW

(whatever balki wants to write here !)


POCS

(whatever vamsi wants to say here!)


WILMAR


RESULTS


CONCLUSIONS