Reconstruction of Signals from Irregularly Sampled Data

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 will be tested on synthetic data generated by a Computer. The algorithms will then be compared based on their speed of convergence and robustness. We also study the influence of the auxiliary parameters specific to each method.

V. Juvvigunta, B. Nakshatrala and N. Kompella
Department of Electrical and Computer Engineering
Mississippi State University
email: {vamsi, balki, mohi}@ERC.MsState.Edu
URL: http://cavs.msstate.edu/research/isip/publications/courses/ece_4773/hse/ies/projects/group_signal/presentation/