Nonuniform Sampling Rate Conversion:An Efficient Approach

Efficient Algorithms for Sampling and Clustering of Large Nonuniform Networks

We propose efficient algorithms for two key tasks in the analysis of large nonuniform networks: uniform node sampling and cluster detection. Our sampling technique is based on augmenting a simple, but slowly mixing uniform MCMC sampler with a regular random walk in order to speed up its convergence; however the combined MCMC chain is then only sampled when it is in its “uniform sampling” mode. ...

Nonuniform Sampling and Multiscale Computation

We consider multiscale functions of the type that are studied in averaging and homogenization theory and in multiscale modeling. Typical examples are two-scale functions f(x, x/ ), (0 < << 1) that are periodic in the second variable. We prove that under certain band limiting conditions these multiscale functions can be uniquely and stably recovered from non-uniform samples of optimal rate. The ...

Spectral Estimation Using Nonuniform Sampling

Nonuniform data appears in many applications including phased array radar. If a radar is tracking several targets, it may pulse each target at nonuniformly spaced instants in time. One may characterize a target's motion by its precession and spin frequencies, which can be determined from the radar return. Several methods for spectral estimation using nonuniform sampling are presented and compar...

\nonuniform Sampling: Bandwidth and Aliasing"

For spectroscopic measurements there are good reasons why one might consider using nonuniformly nonsimultaneously sampled complex data. The primary one is that the e ective bandwidth, the largest spectral window free of aliases, can be much wider than with uniformly sampled data. In this paper we discuss nonuniformly nonsimultaneously sampled data, describe how these data are traditionally anal...

Nonuniform Sampling : Bandwidth and Aliasing