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Noise reduction by multiplicative waveforms decomposition

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
This 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
openaire   +1 more source

Adaptive Noise Waveform Design for Radar

2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009
This 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
openaire   +1 more source

Acoustic emission waveforms for damage monitoring in composite materials: Shifting in spectral density, entropy and wavelet packet transform

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
semanticscholar   +1 more source

A multi-task encoder-decoder to separating earthquake and ambient 1 noise signal in seismograms

Geophysical Journal International, 2022
Seismograms 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
semanticscholar   +1 more source

Seismocardiography: waveform identification and noise analysis

[1991] Proceedings Computers in Cardiology, 2002
The 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
openaire   +1 more source

Decomposition in noise and periodic signal waveforms in waveform interpolation

The Journal of the Acoustical Society of America, 1997
A 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.
openaire   +1 more source

Design of spectrally adaptive noise radar waveforms

Radar Sensor Technology XXIII, 2019
The 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
openaire   +1 more source

Ka-Band Ground-Based Noise Waveform SAR

2007 International Kharkiv Symposium Physics and Engrg. of Millimeter and Sub-Millimeter Waves (MSMW), 2007
We 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
openaire   +1 more source

Radar waveform optimization for colored noise mitigation

IEEE International Radar Conference, 2005., 2005
Waveform 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, 2019
Abstract 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
openaire   +1 more source

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