170 citations · 909 across the 66 of their papers we have counts for
9 papers · 1 filter
A symbol-based algorithm for decoding bar codes
Mark Iwen, Fadil Santosa, Rachel Ward
We investigate the problem of decoding a bar code from a signal measured with a hand-held laser-based scanner. Rather than formulating the inverse problem as one of binary image re…
Testing Hardy-Weinberg equilibrium with a simple root-mean-square statistic
Rachel Ward, Raymond J. Carroll
We provide evidence that a root-mean-square test of goodness-of-fit can be significantly more powerful than state-of-the-art exact tests in detecting deviations from Hardy-Weinberg…
Near-optimal compressed sensing guarantees for total variation minimization
Deanna Needell, Rachel Ward
Consider the problem of reconstructing a multidimensional signal from an underdetermined set of measurements, as in the setting of compressed sensing. Without any additional assump…
Stable and robust sampling strategies for compressive imaging
Felix Krahmer, Rachel Ward
In many signal processing applications, one wishes to acquire images that are sparse in transform domains such as spatial finite differences or wavelets using frequency domain samp…
A comparison of the discrete Kolmogorov-Smirnov statistic and the Euclidean distance
Jacob Carruth, Mark Tygert, Rachel Ward
Goodness-of-fit tests gauge whether a given set of observations is consistent (up to expected random fluctuations) with arising as independent and identically distributed (i.i.d.)…
Two-subspace Projection Method for Coherent Overdetermined Systems (Technical Report)
Deanna Needell, Rachel Ward
In this technical report we present a Projection onto Convex Sets (POCS) type algorithm for solving systems of linear equations. POCS methods have found many applications ranging f…
Two-subspace Projection Method for Coherent Overdetermined Systems
Deanna Needell, Rachel Ward
We present a Projection onto Convex Sets (POCS) type algorithm for solving systems of linear equations. POCS methods have found many applications ranging from computer tomography t…
Stable image reconstruction using total variation minimization
Deanna Needell, Rachel Ward
This article presents near-optimal guarantees for accurate and robust image recovery from under-sampled noisy measurements using total variation minimization. In particular, we sho…
An introduction to how chi-square and classical exact tests often wildly misreport significance and how the remedy lies in computers
William Perkins, Mark Tygert, Rachel Ward
Goodness-of-fit tests based on the Euclidean distance often outperform chi-square and other classical tests (including the standard exact tests) by at least an order of magnitude w…