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Related papers: Pulse Processing -- Overview and Challenges

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Image Processing, Optimization and Prediction of an Image play a key role in Computer Science. Image processing provides a way to analyze and identify an image .Many areas like medical image processing, Satellite images, natural images and…

Computer Vision and Pattern Recognition · Computer Science 2013-05-14 Shweta Jain , Urmila Shrawankar

Anomaly detection in medical imaging is a challenging task in contexts where abnormalities are not annotated. This problem can be addressed through unsupervised anomaly detection (UAD) methods, which identify features that do not match with…

Image and Video Processing · Electrical Eng. & Systems 2023-09-07 Geoffroy Oudoumanessah , Carole Lartizien , Michel Dojat , Florence Forbes

In this letter we experimentally demonstrate that the signal velocity, defined as the earliest time when a signal is detected above the realistic noise floor, may be altered by a region of anomalous dispersion. We encode information in the…

Quantum Physics · Physics 2012-10-01 Ulrich Vogl , Ryan T. Glasser , Paul D. Lett

This paper aims at presenting the basic functionality of a radar platform for real-time monitoring of displacement and vibration. The real time capabilities make the radar platform useful when live monitoring of targets is required. The…

Signal Processing · Electrical Eng. & Systems 2018-11-15 Mihai Tudose , Andrei Anghel , Remus Cacoveanu , Mihai Datcu

The main purpose of this article is to alert spectroscopists, particularly those involved in surveys, to the fact that rapidly pulsating sources induce periodic structures in spectra. This would allow the detection of new classes of objects…

High Energy Astrophysical Phenomena · Physics 2010-03-18 Ermanno F. Borra

Noise, traditionally considered a nuisance in computational systems, is reconsidered for its unexpected and counter-intuitive benefits across a wide spectrum of domains, including nonlinear information processing, signal processing, image…

Machine Learning · Computer Science 2024-10-10 Reyhaneh Abdolazimi , Shengmin Jin , Pramod K. Varshney , Reza Zafarani

The theory of Compressed Sensing, the emerging sampling paradigm 'that goes against the common wisdom', asserts that 'one can recover signals in Rn from far fewer samples or measurements, if the signal has a sparse representation in some…

Information Theory · Computer Science 2013-11-01 Ankit Kundu , Pradosh K. Roy

Mass spectrometry is a widely used method to study molecules and processes in medicine, life sciences, chemistry, catalysis, and industrial product quality control, among many other applications. One of the main features of some mass…

Chemical Physics · Physics 2024-07-02 Daniil A. Boiko , Valentine P. Ananikov

One of the most important processes in the fight against current and future pandemics is the rapid diagnosis and initiation of treatment of viruses in humans. In these times, the development of high-sensitivity tests and diagnostic kits is…

Optics · Physics 2022-12-13 Junfei Wang , Zhenyu Xu , Domna G. Kotsifaki

De Facto, signal processing is the interpolation and extrapolation of a sequence of observations viewed as a realization of a stochastic process. Its role in applied statistics ranges from scenarios in forecasting and time series analysis,…

Methodology · Statistics 2017-05-12 Nozer D. Singpurwalla , Nicholas G. Polson , Refik Soyer

A new field of research is rapidly expanding at the crossroad between statistical physics, information theory and combinatorial optimization. In particular, the use of cutting edge statistical physics concepts and methods allow one to solve…

Neurons and Cognition · Quantitative Biology 2008-03-28 Marc Mezard , Thierry Mora

Conventional radar transmits electromagnetic waves towards the targets of interest. In between the outgoing pulses, the radar measures the signal reflected from the targets to determine their presence, range, velocity and other…

Signal Processing · Electrical Eng. & Systems 2018-12-05 Deborah Cohen , Yonina C. Eldar

Hyperbolic cross approximation is a special type of multivariate approximation. Recently, driven by applications in engineering, biology, medicine and other areas of science new challenging problems have appeared. The common feature of…

Numerical Analysis · Mathematics 2017-04-24 Dinh Dũng , Vladimir N. Temlyakov , Tino Ullrich

Deep learning has received extensive research interest in developing new medical image processing algorithms, and deep learning based models have been remarkably successful in a variety of medical imaging tasks to support disease detection…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Xuxin Chen , Ximin Wang , Ke Zhang , Kar-Ming Fung , Theresa C. Thai , Kathleen Moore , Robert S. Mannel , Hong Liu , Bin Zheng , Yuchen Qiu

A search for pulse signals was carried out in a new sky area included in the monitoring program for the search for pulsars and transients. Processing of several months data recorded in six frequency channels with a total bandwidth of 2.5…

High Energy Astrophysical Phenomena · Physics 2022-07-20 V. A. Samodurov , S. A. Tyul'bashev , M. O. Toropov , S. V. Logvinenko

Pulse propagation in nonlinear arrays continues to be of interest because it provides a possible mechanism for energy transfer with little dispersion. Here we show that common measures of pulse dispersion might be misleading; in strongly…

Soft Condensed Matter · Physics 2009-11-10 Alexandre Rosas , Katja Lindenberg

The next generation of cosmology space missions will be sensitive to parasitic signals arising from cosmic rays. Using a composite bolometer, we have investigated pulses produced by $\alpha$ particles in order to understand the movement of…

Instrumentation and Methods for Astrophysics · Physics 2018-07-26 S. L. Stever , F. Couchot , N. Coron , R. M. J. Janssen , B. Maffei

The Parkes multibeam pulsar survey is a sensitive survey of a strip along the Galactic plane with |b|<5 deg and l=260 deg to l=50 deg. It uses a 13-beam receiver on the 64-m Parkes radio telescope, receiving two polarisations per beam over…

Magnetic resonance (MR) imaging is an essential diagnostic tool in clinical medicine. Recently, a variety of deep learning methods have been applied to segmentation tasks in medical images, with promising results for computer-aided…

Medical Informatics and the application of modern signal processing in the assistance of the diagnostic process in medical imaging is one of the more recent and active research areas today. This thesis addresses a variety of issues related…

Computer Vision and Pattern Recognition · Computer Science 2009-10-20 Harris Georgiou