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Loren W. Nolte

Professor Emeritus in the Department of Electrical and Computer Engineering
Pierre R. Lamond Department of Electrical and Computer Engineering
Box 90291, Durham, NC 27708-0291
3471 CIEMAS, Durham, NC 27708

Scholarly Works - Conferences


Intrinsic structure study of whale vocalizations

Conference Oceans 2016 Mts IEEE Monterey Oce 2016 · November 28, 2016 Whale vocalizations can be modeled as polynomial-phase signals, which are widely used in radar and sonar applications. Such signals lie on a nonlinear manifold parameterized by polynomial phase coefficients. In this paper, we apply manifold learning method ... Full text Cite

The impact of breast structure on lesion detection in breast tomosynthesis

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2015 Virtual clinical trials (VCT) can be carefully designed to inform, orient, or potentially replace clinical trials. The focus of this study was to demonstrate the capability of the sophisticated tools that can be used in the design, implementation, and perf ... Full text Cite

Development of matched virtual and physical breast phantoms based on patient data

Conference Progress in Biomedical Optics and Imaging - Proceedings of SPIE · 2013 Physical phantoms are essential for the development, optimization, and clinical evaluation of x-ray systems. These phantoms are used for various tests such as quality assurance testing, system characterization, reconstruction evaluation, and dosimetry. The ... Full text Cite

Development of a dynamic 4D anthropomorphic breast phantom for contrast-based breast imaging

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · May 4, 2012 Mammography is currently the most widely accepted tool for detection and diagnosis of breast cancer. However, the sensitivity of mammography is reduced in women with dense breast tissue due to tissue overlap, which may obscure lesions. Digital breast tomos ... Full text Cite

Optimal Multisensor Decision Fusion of Mine Detection Algorithms

Conference Proceedings of SPIE the International Society for Optical Engineering · November 26, 2003 Numerous detection algorithms, using various sensor modalities, have been developed for the detection of mines in cluttered and noisy backgrounds. The performance for each detection algorithm is typically reported in terms of the Receiver Operating Charact ... Full text Cite

Performance analysis for Bayesian microwave imaging in decision aided breast tumor diagnosis

Conference Proceedings International Symposium on Biomedical Imaging · January 1, 2002 In this paper the Markov Random Field is used to model the breast permittivity cross section as a propagating medium, and incorporate it into the forward Electromagnetic (EM) propagation to predict the random field of the EM measurements at a received arra ... Full text Cite

Improved decision-theoretic approach to the optimum detection of mines

Conference Proceedings of SPIE the International Society for Optical Engineering · December 1, 1997 The fundamental goal of mine detection is to achieve a high detection rate along with a low false alarm rate. While many mine detectors achieve the first of these goals, it is often at the cost of a prohibitively large false alarm rate. In this paper, a Ba ... Cite

ROC performance evaluation of multilayer perceptrons in the detection of one of M orthogonal signals

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · January 1, 1992 A neural network detector is compared to an optimal algorithm from signal detection theory for the problem of one of M orthogonal signals in a Gaussian noise environment. The neural detector is a multilayer per-ceptron trained with the back-propagation alg ... Full text Cite

Source localization in the presence of a mesoscale eddy

Conference Oceans 1992 Proceedings Mastering the Oceans Through Technology · January 1, 1992 Our simulation configuration consists of several components: a true 3-D ray tracing program able to account for unsteady inhomogeneous flow in the medium, the GDEM database accessed by a high speed cubic spline, and a current model for a mesoscale eddy. Su ... Full text Cite

Performance evaluation of array processors for detecting Gaussian acoustic signals

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · January 1, 1977 Performance of detecting »noise-like» under-water acoustic signals are measured by probability of false alarm (PFA) and probability of detection (PD). Analytical expressions for PFAand PDare derived in terms of t ... Full text Cite

Adaptive optimal array detection of targets of unknown spatial location

Conference Proceedings of the IEEE Conference on Decision and Control · January 1, 1971 A primary reason that much attention has been given to array antenna systems is their ability to perform rapid inertialess scanning. 1,2 Despite this great interest in array processing,1-6 the concept of an overall Bayesian approach t ... Full text Cite

Sequentially operating finite memory detectors

Conference Proceedings of the 1970 9th IEEE Symposium on Adaptive Processes Decision and Control Sap 1970 · January 1, 1970 The Bayesian approach in signal detection theory generally yields detectors with memory which contains appropriate statistics used in producing a detection output. This memory summarizes each available observation in terms of precisely representable contin ... Full text Cite

A new generalized likelihood ratio philosophy

Conference Proceedings of the 1970 9th IEEE Symposium on Adaptive Processes Decision and Control Sap 1970 · January 1, 1970 A new philosophy for designing detection devices is presented which embodies some of the better features of the classical generalized likelihood ratio test and the classical Bayes test. A feature of the new Bayes generalized likelihood ratio test is that i ... Full text Cite