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Efficient target detection method based on wavelet transform and progressive feature pyramid network: a case study of power grid inspection. [PDF]
Sci RepYe J, Yuqi B, Wendi W, Bo Q, Hai L.
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Research on aging-friendly design risk assessment model based on non-parametric estimation. [PDF]
Sci RepLi H, Mao M, Yin YQ.
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Pragmatic Models for Detection of Hypertension Using Ballistocardiograph Signals and Machine Learning. [PDF]
Bioengineering (Basel)Prabhakar SK, Won DO.
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Wavelet-Based Analysis of Soundscape Dynamics in a Riparian Woodland: The Bernate-Ticino River Park. [PDF]
Sensors (Basel)Benocci R +5 more
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Discrete Lattice Wavelet Transform
IEEE Transactions on Circuits and Systems II: Express Briefs, 2007The discrete wavelet transform (DWT) has gained a wide acceptance in denoising and compression coding of images and signals. In this work we introduce a discrete lattice wavelet transform (DLWT). In the analysis part, the lattice structure contains two parallel transmission channels, which exchange information via two crossed lattice filters.
Olkkonen, H., Olkkonen, Juuso
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Discrete Wavelets and Fast Wavelet Transform
1991The wavelet analysis, introduced by J. MORLET and Y. MEYER in the middle of the eighties, is a processus of time-frequency (or time-scale) analysis which consists of decomposing a signal into a basis of functions (o jk ) called wavelets. These wavelets are in turn deduced from the analyzing wavelet o by dilatations and translations. More precisely:
Bonnet, Pierre, Rémond, Didier
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