Results 11 to 20 of about 20,190 (261)
Radon spectrogram-based approach for automatic IFs separation
EURASIP Journal on Advances in Signal Processing, 2020 The separation of overlapping components is a well-known and difficult problem in multicomponent signals analysis and it is shared by applications dealing with radar, biosonar, seismic, and audio signals.
Vittoria Bruni +2 more
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The face is central to primate multicomponent signals [PDF]
International Journal of Primatology, 2022 AbstractA wealth of experimental and observational evidence suggests that faces have become increasingly important in the communication system of primates over evolutionary time and that both the static and moveable aspects of faces convey considerable information. Therefore, whenever there is a visual component to any multicomponent signal the face is
Bridget M. Waller +4 more
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Radar Detection-Inspired Signal Retrieval from the Short-Time Fourier Transform
Sensors, 2022 This paper presents a novel adaptive algorithm for multicomponent signal decomposition from the time–frequency (TF) plane using the short-time Fourier transform (STFT).
Karol Abratkiewicz
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Decomposition of Multicomponent Micro-Doppler Signals Based on HHT-AMD
Applied Sciences, 2018 Micro-Doppler signals analysis has been emerging as an important topic in target identification, and relative research has been focusing on features extraction and separation of the radar signals.
Wenchao Li, Gangyao Kuang, Boli Xiong
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Diffusion weighted image denoising using overcomplete local PCA. [PDF]
PLoS ONE, 2013 Diffusion Weighted Images (DWI) normally shows a low Signal to Noise Ratio (SNR) due to the presence of noise from the measurement process that complicates and biases the estimation of quantitative diffusion parameters.
José V Manjón +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 SAR in THz band is very important and valuable in the field of radar signal processing, and it is much sensitive to the high-frequency vibration of the platform due to the short wavelength.
Siyu Chen, Yong Wang, Yun Zhang
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International Journal of Rotating Machinery, 2017 Due to the complicated structure, vibration signal of rotating machinery is multicomponent with nonstationary and nonlinear features, so it is difficult to diagnose faults effectively.
Kai Chen +3 more
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On the Decomposition of Multivariate Nonstationary Multicomponent Signals
CoRR, 2019 With their ability to handle an increased amount of information, multivariate and multichannel signals can be used to solve problems normally not solvable with signals obtained from a single source. One such problem is the decomposition signals with several components whose domains of support significantly overlap in both the time and the frequency ...
Ljubisa Stankovic +3 more
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The effect of past condition on a multicomponent sexual signal [PDF]
Proceedings of the Royal Society of London. Series B: Biological Sciences, 2003 Sexual-selection theory predicts that multiple signals may reveal male condition at different stages of life, thus allowing females to make a more reliable assessment of male quality. While the effect of current condition on signal design is well established, few studies have experimentally investigated the effects of past condition.
Scheuber H, Jacot A, Brinkhof MW
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CHIMIA, 2008 Recent experimental evidence confirms synthetic pores as operational multicomponent sensors in complex matrices. This work in practice is summarized, with emphasis on topics of current concern which exemplify the use of enzymes as signal ...
Sara M. Butterfield, Stefan Matile
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