Results 201 to 210 of about 10,319 (255)
Distinct beta burst motifs exhibit opposing error relationships during motor adaptation
Moreau Q +4 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A new waveform decomposition method for multispectral LiDAR
ISPRS Journal of Photogrammetry and Remote Sensing, 2019Abstract Information derived from waveform decomposition of full-waveform light detection and ranging (LiDAR) data has been widely used in vegetation detection and three-dimensional urban terrain modeling to investigate and interpret the structural diversity of surface coverage.
Wei Gong, Binhui Wang, Jia Sun
exaly +2 more sources
Adaptive multi-step Full Waveform Inversion based on Waveform Mode Decomposition
Journal of Applied Geophysics, 2017Abstract Full Waveform Inversion (FWI) can be used to build high resolution velocity models, but there are still many challenges in seismic field data processing. The most difficult problem is about how to recover long-wavelength components of subsurface velocity models when seismic data is lacking of low frequency information and without long ...
Yong Hu, Fengjiao Zhang, Liguo Han
exaly +2 more sources
A Fuzzy Mean-Shift Approach to Lidar Waveform Decomposition
IEEE Transactions on Geoscience and Remote Sensing, 2016Waveform decomposition is a common step for exploitation of full-waveform lidar data. Much effort has been focused on designing algorithms based on the assumption that the returned waveforms follow a Gaussian mixture model where each component is a Gaussian.
Jie Shan, Serkan Ural
exaly +2 more sources
Waveform decomposition and feature extraction of airborne LiDAR bathymetry
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021To develop the data mining capability of airborne LiDAR bathymetry (ALB) waveform information, the waveform decomposition and feature extraction algorithm of airborne LiDAR bathymetry is proposed in this paper. This method uses the “separate” and “combine” two-step optimized waveform decomposition algorithm to decompose the bottom contribution waveform
Jiaoyang Liu +5 more
openaire +1 more source
Decomposition of laser altimeter waveforms
IEEE Transactions on Geoscience and Remote Sensing, 2000The authors develop a method to decompose a laser altimeter return waveform into a series of components assuming that the position of each component within the waveform can be used to calculate the mean elevation of a specific reflecting surface within the laser footprint. For simplicity, they assume each component is Gaussian in nature.
Michelle A. Hofton +2 more
openaire +1 more source
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
Amina Serir, Boualem Sansal
openaire +1 more source
Toward an Optimal Algorithm for LiDAR Waveform Decomposition
IEEE Geoscience and Remote Sensing Letters, 2012This letter introduces a new approach for light detection and ranging (LiDAR) waveform decomposition. First, inflection points are identified by the Ramer-Douglas-Peucker curve-fitting algorithm, and each inflection point has a corresponding baseline during curve fitting. Second, according to the spatial relation between the baseline and the inflection
Yuchu Qin, Tuong Thuy Vu, Yifang Ban
openaire +1 more source
A speech coder based on decomposition of characteristic waveforms
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002For low-rate speech coding it is advantageous to represent the speech signal as an evolving characteristic waveform (CW). The CW evolves slowly when the speech signal is clearly voiced and rapidly when the speech signal is clearly unvoiced. The voiced (periodic) and unvoiced (nonperiodic) components of the speech signal can be separated by a simple ...
W. Bastiaan Kleijn, Jesper Haagen
openaire +1 more source