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Noise reduction by multiplicative waveforms decomposition
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003This paper introduces a novel multiplicative noise reduction method based on a particular association of structural and statistical analysis. The structural analysis is performed by a new, multiplicative matching pursuit decomposition (MMPD), that decomposes images containing the intrinsic variation into a nonlinear expansion of waveforms selected from
A. Serir, B. Sansal
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Adaptive Noise Waveform Design for Radar
2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009This paper introduces an adaptive radar waveform technique where a standard LFM waveform is used as an initial seed. The seed waveform is changed using a phase-only adaptive technique to minimize the resulting waveform's power in specific areas associated with in-band and adjacent-band spectral regions.
Michael L. Picciolo +2 more
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Structural Health Monitoring, 2021
Signal-based acoustic emission data are analysed in this research work for identifying the damage modes in carbon fibre–reinforced plastic (CFRP) composites.
C. Barile +3 more
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Signal-based acoustic emission data are analysed in this research work for identifying the damage modes in carbon fibre–reinforced plastic (CFRP) composites.
C. Barile +3 more
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A multi-task encoder-decoder to separating earthquake and ambient 1 noise signal in seismograms
Geophysical Journal International, 2022Seismograms contain multiple sources of seismic waves, from distinct transient signals such as earthquakes to continuous ambient seismic vibrations such as microseism.
Jiuxun Yin, M. Denolle, Bing He
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Seismocardiography: waveform identification and noise analysis
[1991] Proceedings Computers in Cardiology, 2002The seismocardiogram (SCG) provides a convenient and reliable measure of left ventricular systolic and diastolic performance both at rest and immediately after exercise. An effective means has been developed to eliminate noise artifacts such as coughing, talking, and patient movement prior to any waveform averaging scheme. A computer algorithm has been
J.M. Zanetti, M.O. Poliac, R.S. Crow
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Decomposition in noise and periodic signal waveforms in waveform interpolation
The Journal of the Acoustical Society of America, 1997A method of coding a speech signal is described. In accordance with the method, a plurality of sets of indexed parameters are generated based on samples of the speech signal. Each set of indexed parameters corresponds to a waveform characterizing the speech signal at a discrete point in time.
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Design of spectrally adaptive noise radar waveforms
Radar Sensor Technology XXIII, 2019The emergence of cognitive radar has led to a considerable amount of research into optimizing a radar's waveform to achieve better performance for a desired task. Specifically, optimizing a waveform's energy spectrum to take advantage of interference, noise, and a target's scattering characteristics has led to a number of approaches for design.
Caden J. Pici, Ram M. Narayanan
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Ka-Band Ground-Based Noise Waveform SAR
2007 International Kharkiv Symposium Physics and Engrg. of Millimeter and Sub-Millimeter Waves (MSMW), 2007We present main results of design and investigations of Ka-band ground based interferometric SAR which uses continuous noise waveform as a probe signal and may operate in both monostatic and bistatic regimes. Synthetic aperture antennas enable to design a portable, light weight, easy to mount device with high speed of operation suitable for SAR imaging
Konstantin A. Lukin +11 more
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Radar waveform optimization for colored noise mitigation
IEEE International Radar Conference, 2005., 2005Waveform optimization is a technique that can be used to adjust any or all of the radar transmitter degrees of freedom (DoFs) based on observations of a dynamic environment caused by intentional and/or unintentional interference sources. These DoFs include but are not limited to pulse shape, pulse repetition frequency (PRF), bandwidth, and operating ...
J.S. Bergin +3 more
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Seismic noise attenuation based on waveform classification
Journal of Applied Geophysics, 2019Abstract Traditionally, a denoising algorithm is usually applied to enhance useful reflection seismic signals, or to increase the quality of the waveforms recorded in the seismic data. The strong noise left in the filtered data after denoising is a long standing drawback of many state-of-the-art denoising algorithms. In addition to removing noise, we
Wei Chen, Min Bai, Hui Song
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