Results 21 to 30 of about 7,700,165 (256)
Spectral compressive sensing with model selection [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 5 pages, 2 figures, 1 table, published in ICASSP ...
Zhenqi Lu +5 more
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Heliyon, 2022 To extract blue roofs (BRs) from remote sensing images quickly, first, this study used WorldView-2 and WorldView-3 as the data sources and created a new BR spectral area model (BRSAM) using the polygon area difference between the spectral curves of BRs ...
Huaipeng Liu, Xiaoqing Zuo
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Spectral Methods for Nonparametric Models
CoRR, 2017 Keywords: Spectral Methods, Indian Buffet Process, Hierarchical Dirichlet ...
Hsiao-Yu Fish Tung +3 more
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A Statistical and Spectral Model for Representing Noisy Sounds with Short-Time Sinusoids
EURASIP Journal on Advances in Signal Processing, 2005 We propose an original model for noise analysis, transformation, and synthesis: the CNSS model. Noisy sounds are represented with short-time sinusoids whose frequencies and phases are random variables.
Myriam Desainte-Catherine +1 more
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Maximum flatness spectral modeling [PDF]
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1990 Peer ...
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A tractable framework for estimating and combining spectral source models for audio source separation [PDF]
, 2011 The underdetermined blind audio source separation (BSS) problem is often addressed in the time-frequency (TF) domain assuming that each TF point is modeled as an independent random variable with sparse distribution.
Gribonval, Rémi +3 more
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Ecological Indicators, 2021 The accurate classification of wetland vegetation is essential for rapid assessment and management. The Honghe National Nature Reserve (HNNR), located in Northeast China, was studied.
Man Liu +7 more
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Study on Spectral Interference in the Determination of Vanadium by ICP-OES
, 2020 Vanadium is an important scarce resource and strategic metal, and often coexists with a variety of complex metals in the form of secondary mineral phases in nature.
Zhang Yi +7 more
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Non-destructive monitoring of amylose content in rice by UAV-based hyperspectral images
Frontiers in Plant Science, 2022 Amylose content (AC) is an important indicator for rice quality grading. The rapid development of unmanned aerial vehicle (UAV) technology provides rich spectral and spatial information on observed objects, making non-destructive monitoring of crop ...
Fumin Wang +8 more
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Spectral Variability in a Multilinear Mixing Model [PDF]
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 We present a new method for spectral unmixing which takes both nonlinear mixing and spectral variability into account. This is accomplished by combining the multiple endmember spectral mixture analysis (MESMA) approach with the recently developed multilinear mixing model (MLM).
Thorvald Dox +2 more
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