Results 51 to 60 of about 138,615 (167)

Classifying Power Quality Disturbances Based on Phase Space Reconstruction and a Convolutional Neural Network

Applied Sciences, 2019
This paper presents a hybrid approach combining phase space reconstruction (PSR) with a convolutional neural network (CNN) for power quality disturbance (PQD) classification.
Kewei Cai, Taoping Hu, Wenping Cao, Guofeng Li   +3 more
doaj   +1 more source

Digital Compensation in IQ Modulator Using Optimization—A State-Space Approach

EURASIP Journal on Advances in Signal Processing, 2005
In DSP-based IQ modulators generating CPFSK signals, shortcomings in the implementation of the analog reconstruction filters result in the loss of the constant envelope property of the output CPFSK signal.
Lim AGKC, Sreeram V, Wang G
doaj   +1 more source

Additional file 5: of SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool

, 2018
Figure S5. The standard deviation image of the ten statistically images for 120 s scan duration and OSEM reconstruction (left: scan, right: simulation). (PDF 75 kb)
Pfaehler, Elisabeth, De Jong, Johan, Dierckx, Rudi, van Velden, Floris, Boellaard, Ronald   +4 more
openaire   +1 more source

Additional file 16 of Reconstructing an historical pollination syndrome: keel flowers

, 2022
Additional file 16. S16. Sources used to construct ancestral state analyses of Fabales.
Uluer, Deniz Aygören, Forest, Félix, Armbruster, Scott, Hawkins, Julie A.   +3 more
openaire   +1 more source

CartoSR: An attention-enhanced deep GANs for single map super resolution reconstruction

International Journal of Applied Earth Observations and Geoinformation
Maps are fundamental media for people to comprehend the spatial and temporal dimensions of a place. Currently, the majority of maps are generated through volunteered efforts, which significantly extends the critical and participatory aspects of ...
Xiran Zhou, Honghao Li, Zhenfeng Shao, Wenwen Li, Zhigang Yan   +4 more
doaj   +1 more source

Multimedia file reconstruction and analyse in digital forensics

, 2017
abstract ; Computer Science ; Doctoral ; Doctor of ...
openaire   +2 more sources

Modeling of Electrocardiogram Signals Using Predefined Signature and Envelope Vector Sets

EURASIP Journal on Advances in Signal Processing, 2007
A novel method is proposed to model ECG signals by means of "predefined signature and envelope vector sets (PSEVS)." On a frame basis, an ECG signal is reconstructed by multiplying three model parameters, namely, predefined signature vector ...
Yarman B Sıddık, Gürkan Hakan, Güz Ümit   +2 more
doaj  

Additional file 1: of SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool

, 2018
Figure S1. The behaviour of real scan data over different numbers of iterations (upper line 1â 3 iterations (from left to right), lower line 4â 6 iterations (from left to right)). (PDF 173 kb)
Pfaehler, Elisabeth, De Jong, Johan, Dierckx, Rudi, van Velden, Floris, Boellaard, Ronald   +4 more
openaire   +1 more source

Regularizing Inverse Preconditioners for Symmetric Band Toeplitz Matrices

EURASIP Journal on Advances in Signal Processing, 2007
Image restoration is a widely studied discrete ill-posed problem. Among the many regularization methods used for treating the problem, iterative methods have been shown to be effective.
Lotti G, Menchi O, Favati P
doaj  

Additional file 2: of SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool

, 2018
Figure S2. The behaviour of simulated data over different numbers of iterations (upper line 1â 3 iterations (from left to right), lower line 4â 6 iterations (from left to right)), using 16 subsets. (PDF 237 kb)
Pfaehler, Elisabeth, De Jong, Johan, Dierckx, Rudi, van Velden, Floris, Boellaard, Ronald   +4 more
openaire   +1 more source