Results 101 to 110 of about 8,316 (179)

PAPR reduction in optical OFDM with grouped LEDs [PDF]

, 2016
Ogunkoya, Funmilayo B., Popoola, Wasiu O., Sinanovic, Sinan   +2 more
core   +1 more source

PAPR Reduction of OTSM with Random and Orthogonal SLM Phase Sequences and its Recovery in the Presence of EPA, EVA and ETU Channel Models [PDF]

Radioengineering
To overcome the high peak-to-average-power ratio (PAPR) in orthogonal time sequency multiplexing (OTSM), this document proposes orthogonal and random selective mapping phase vectors (OSLM and RSLM) after some modifications to be applicable with OTSM ...
M. I. Al-Rayif
doaj  

Homeostatic bidirectional plasticity in upbound and downbound micromodules in a model of the olivocerebellar loop. [PDF]

PLoS Comput Biol
Fernández Santoro EM, Landsmeer LPL, Hamdioui S, Strydis C, De Zeeuw CI, Badura A, Negrello M.   +6 more
europepmc   +2 more sources

Enhanced active learning Gaussian process metamodel for estimating the one-sided tail probability of nonlinear structural response. [PDF]

Sci Rep
Wang Y, Huang Y, Huang Y, Yin W.
europepmc   +1 more source

Modeling truncated and censored data with the diffusion model in Stan. [PDF]

Behav Res Methods
Henrich F, Klauer KC.
europepmc   +1 more source

Distance-amplified power-law distributions better characterize human long-distance travel. [PDF]

Sci Rep
Bankhamer G, Liu H, Park S, Elsässer R, Schmid S.   +4 more
europepmc   +1 more source

Sudden restructuring of memory representations in recurrent neural networks with repeated stimulus presentations. [PDF]

Front Comput Neurosci
Howlett JR.
europepmc   +1 more source

Joint Optimization and Performance Analysis of Analog Shannon-Kotel'nikov Mapping for OFDM with Carrier Frequency Offset. [PDF]

Entropy (Basel)
Lin J, Chen Q, Hua Y, Chen C.
europepmc   +1 more source

SLM-based PAPR reduction for improved performance of DCO-OFDM LiFi using blind estimation for healthcare monitoring system. [PDF]

Sci Rep
Sharaf AA, Seleem H, Sarhan A, Ashour AS.   +3 more
europepmc   +1 more source

Measurement of influential nodes in networks based on community structure information entropy. [PDF]

Sci Rep
Wang X, Yang Q, Zhu Y.
europepmc   +1 more source