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Recognition of shelterbelt continuity using remote sensing and waveform recognition

Agroforestry Systems, 2013
Shelterbelt systems play an important and long-term role in ecological stability and food security. Today, shelterbelts are threatened by anthropogenic destruction, plant diseases, and insect pests. Determining the continuity of shelterbelts is essential for the management and maintenance of complete and stable shelterbelt systems.
R. X. Deng   +3 more
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Recognition of noisy peaks in ECG waveforms

Computers and Biomedical Research, 1984
A new method for recognizing noisy peaks in ECG waveforms is presented. This method is based on the principle that most noisy peaks in ECG waveforms appear as pairs of adjacent peaks which satisfy certain criteria. These pairs are called "noisy peak pairs" in this paper.
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Neural Waveform Recognition System

1992
Abstract : The Communications Technology Branch in the Command, Control and Communications Directorate of Rome Laboratory performs theoretical research in the area of advanced signal processing as it applies to military communications systems. The research documented in this technical report examines the applicability of neural networks to the ...
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Peak Recognition in Waveforms

1977
A new system of peak component recognition and measurement in digitized waveforms is detailed. Two input parameters identify waveform context (scale and noise content), and a third specifies baseline tolerance (if applicable). The input waveform is preprocessed by a discrete linear piecewise approximation algorithm yielding a segmentation in endpoint ...
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Speech recognition using phoneme waveform parameters

The Journal of the Acoustical Society of America, 1998
A method and apparatus for computer speech recognition based on time-domain phoneme waveform identification. In Mainwave-Ripple Model (MRM) analysis, the waveform is located in a short interval called a frame, and waveform structural features are located and measured, to form a waveform analysis array in terms of fine-structure parameters and main ...
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Hybrid-Waveform recognition for magnetizing inrush current

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2016
The identification of inrush current has been the focus of relay protection for a long time. In recent years, using waveform symmetry principle to identify inrush current has received more attention. This method identify the waveform of the magnetizing inrush current by comparing current's waveform's shape, size or change rate. However, the traditional
null Xiaoning Kang   +4 more
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Recognition memory for arbitrary, complex waveforms

The Journal of the Acoustical Society of America, 1989
Recognition memory for arbitrary complex stimuli was measured using the operating characteristic technique developed by Egan [J. P. Egan, AFCRC TN 58-51, AD 152650 (1958)]. Ten complex stimuli (500 ms in duration), each consisting of six, randomly chosen, equal amplitude sinusoidal components spanning frequencies from 300 to 3000 Hz, were used as a ...
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Waveform recognition with application to bar codes

Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics, 2002
The authors propose that the location and area under a peak can be the features of choice for a waveform recognition system. If the waveform is a result of the convolution of a Gaussian shape point spread function with a bi-level image, the image can be reconstructed by considering the areas under the waveform peaks. This is demonstrated by using a bar
E. Joseph, T. Pavlidis
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Waveform Recognition in Code Stroke Transcranial Doppler Studies

Journal for Vascular Ultrasound, 2014
Evaluating the intracranial arteries emergently as a stroke is in progress uniquely positions the transcranial Doppler (TCD) as a tool to not only help diagnose the cause of the stroke but to serially monitor the cerebral arteries before, during, and after emergent pharmaceutical and/or endovascular interventions.
Thomas H. Alexander, George M. Plotkin
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Fourier transformation of waveform Lidar for species recognition

Remote Sensing Letters, 2010
In precision forestry, tree species identification is one of the critical variables of forest inventory. Lidar, specifically full-waveform Lidar, holds high promise in the ability to identify dominant hardwood tree species in forests. Raw waveform Lidar data contain more information than can be represented by a limited series of fitted peaks.
Nicholas R. Vaughn   +2 more
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