9 citations · 21 across the 8 of their papers we have counts for
8 papers
Optimal ROC Curves from Score Variable Threshold Tests
Catherine Medlock, Alan Oppenheim
The Receiver Operating Characteristic (ROC) is a well-established representation of the tradeoff between detection and false alarm probabilities in binary hypothesis testing. In ma…
Operating Characteristics for Binary Hypothesis Testing in Quantum Systems
Catherine Medlock, Alan Oppenheim, Isaac Chuang +1
Receiver operating characteristics (ROCs) are a well-established representation of the tradeoff between detection and false alarm probabilities in classical binary hypothesis testi…
Informationally Overcomplete POVMs for Quantum State Estimation and Binary Detection
Catherine Medlock, Alan Oppenheim, Petros Boufounos
It is well-known in classical frame theory that overcomplete representations of a given vector space provide robustness to additive noise on the frame coefficients of an unknown ve…
Delta-Ramp Encoder for Amplitude Sampling and its Interpretation as Time Encoding
Pablo Martínez-Nuevo, Hsin-Yu Lai, Alan V. Oppenheim
The theoretical basis for conventional acquisition of bandlimited signals typically relies on uniform time sampling and assumes infinite-precision amplitude values. In this paper,…
Lattice Functions for the Analysis of Analog-to-Digital Conversion
Pablo Martínez-Nuevo, Alan. V. Oppenheim
Analog-to-digital (A/D) converters are the common interface between analog signals and the domain of digital discrete-time signal processing. In essence, this domain simultaneously…
A Functional Composition Approach to Filter Sharpening and Modular Filter Design
Sefa Demirtas, Alan V. Oppenheim
Designing and implementing systems as an interconnection of smaller subsystems is a common practice for modularity and standardization of components and design algorithms. Although…
Trading Accuracy for Numerical Stability: Orthogonalization, Biorthogonalization and Regularization
Tarek A. Lahlou, Alan V. Oppenheim
This paper presents two novel regularization methods motivated in part by the geometric significance of biorthogonal bases in signal processing applications. These methods, in part…
Unveiling The Tree: A Convex Framework for Sparse Problems
Tarek A. Lahlou, Alan V. Oppenheim
This paper presents a general framework for generating greedy algorithms for solving convex constraint satisfaction problems for sparse solutions by mapping the satisfaction proble…