234 citations · 1.2k across the 33 of their papers we have counts for
5 papers · 1 filter
Estimating principal components of covariance matrices using the Nyström method
Nicholas Arcolano, Patrick J. Wolfe
Covariance matrix estimates are an essential part of many signal processing algorithms, and are often used to determine a low-dimensional principal subspace via their spectral deco…
KARMA: Kalman-based autoregressive moving average modeling and inference for formant and antiformant tracking
Daryush D. Mehta, Daniel Rudoy, Patrick J. Wolfe
Vocal tract resonance characteristics in acoustic speech signals are classically tracked using frame-by-frame point estimates of formant frequencies followed by candidate selection…
A CURE for noisy magnetic resonance images: Chi-square unbiased risk estimation
Florian Luisier, Thierry Blu, Patrick J. Wolfe
In this article we derive an unbiased expression for the expected mean-squared error associated with continuously differentiable estimators of the noncentrality parameter of a chi-…
Time-Varying Autoregressions in Speech: Detection Theory and Applications
Daniel Rudoy, Thomas F. Quatieri, Patrick J. Wolfe
This article develops a general detection theory for speech analysis based on time-varying autoregressive models, which themselves generalize the classical linear predictive speech…
Bayesian changepoint analysis for atomic force microscopy and soft material indentation
Daniel Rudoy, Shelten G. Yuen, Robert D. Howe +1
Material indentation studies, in which a probe is brought into controlled physical contact with an experimental sample, have long been a primary means by which scientists character…