Douglas L. Jones mainly focuses on Algorithm, Internal medicine, Signal processing, Cardiology and Acoustics. His Algorithm study combines topics from a wide range of disciplines, such as Orthonormal basis, Speech recognition, Kernel and Time–frequency analysis. His studies link Endocrinology with Internal medicine.
Douglas L. Jones interconnects Direction of arrival and Analog signal in the investigation of issues within Signal processing. His Cardiology research incorporates elements of Anesthesia and Surgery. The concepts of his Acoustics study are interwoven with issues in Wireless, Audio signal processing and Signal, Microphone.
Internal medicine, Algorithm, Cardiology, Signal processing and Artificial intelligence are his primary areas of study. His Internal medicine study combines topics in areas such as Anesthesia and Endocrinology. His Algorithm research focuses on Time–frequency analysis and how it relates to Fourier transform.
His research links Surgery with Cardiology. The Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition. The study incorporates disciplines such as Pulse, Shock and Ventricular fibrillation in addition to Defibrillation.
Douglas L. Jones mainly investigates Algorithm, Artificial intelligence, Internal medicine, Speech recognition and Acoustics. His Algorithm research also works with subjects such as
Douglas L. Jones combines subjects such as Artificial neural network, Recurrent neural network, Detector, Time–frequency analysis and Event with his study of Pattern recognition. His research in Internal medicine intersects with topics in Endocrinology and Cardiology. Douglas L. Jones has researched Noise in several fields, including Beamforming and Sound pressure.
The scientist’s investigation covers issues in Internal medicine, Atrial fibrillation, Speech recognition, Endocrinology and Artificial intelligence. Internal medicine is closely attributed to Cardiology in his work. His research integrates issues of Pharmacology, Drug, Heart disease and Connexin in his study of Atrial fibrillation.
His Speech recognition research is multidisciplinary, relying on both Channel and Beamforming. In Endocrinology, Douglas L. Jones works on issues like Atrial tachycardia, which are connected to Stimulation. He focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Pattern recognition and, in certain cases, Reverberation, Artificial neural network, Time–frequency analysis, Robustness and Constraint.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
FROM MOTIVATION TO ACTION: FUNCTIONAL INTERFACE BETWEEN THE LIMBIC SYSTEM AND THE MOTOR SYSTEM
Gordon J. Mogenson;Douglas L. Jones;Chi Yiu Yim.
Progress in Neurobiology (1980)
Chronic Rapid Atrial Pacing Structural, Functional, and Electrophysiological Characteristics of a New Model of Sustained Atrial Fibrillation
Carlos A. Morillo;George J. Klein;Douglas L. Jones;Colette M. Guiraudon.
Circulation (1995)
PAR reduction in OFDM via active constellation extension
B.S. Krongold;D.L. Jones.
IEEE Transactions on Broadcasting (2003)
Computationally efficient optimal power allocation algorithm for multicarrier communication systems
B.S. Krongold;K. Ramchandran;D.L. Jones.
international conference on communications (1998)
Real-valued fast Fourier transform algorithms
H. Sorensen;D. Jones;M. Heideman;C. Burrus.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1987)
Computationally efficient optimal power allocation algorithms for multicarrier communication systems
B.S. Krongold;K. Ramchandran;D.L. Jones.
IEEE Transactions on Communications (2000)
Somatic mutations in the connexin 40 gene (GJA5) in atrial fibrillation.
Michael H Gollob;Douglas L Jones;Andrew D Krahn;Lynne Danis.
The New England Journal of Medicine (2006)
ICRU Report 50—Prescribing, Recording and Reporting Photon Beam Therapy
Douglas Jones.
Medical Physics (1994)
An adaptive optimal-kernel time-frequency representation
D.L. Jones;R.G. Baraniuk.
IEEE Transactions on Signal Processing (1995)
A signal-dependent time-frequency representation: optimal kernel design
R.G. Baraniuk;D.L. Jones.
IEEE Transactions on Signal Processing (1993)
Karolinska Institute
University of Illinois at Urbana-Champaign
University of Western Ontario
University of Illinois at Urbana-Champaign
Rice University
University of Wisconsin–Madison
University of Western Ontario
University of California, Berkeley
University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign
Profile was last updated on December 6th, 2021.
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