Results 51 to 60 of about 19,429 (283)

A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise, minimum mean square variance criterion and least mean square adaptive filter

open access: yesDefence Technology, 2020
Underwater acoustic signal processing is one of the research hotspots in underwater acoustics. Noise reduction of underwater acoustic signals is the key to underwater acoustic signal processing.
Yu-xing Li, Long Wang
doaj   +1 more source

Using entropy measures for comparison of software traces

open access: yes, 2012
The analysis of execution paths (also known as software traces) collected from a given software product can help in a number of areas including software testing, software maintenance and program comprehension.
Davison, M.   +3 more
core   +1 more source

Image Similarity Metrics in Image Registration [PDF]

open access: yes, 2010
Measures of image similarity that inspect the intensity probability distribution of the images have proved extremely popular in image registration applications. The joint entropy of the intensity distributions and the marginal entropies of the individual
Hawkes, DJ, Melbourne, A, Ridgway, G
core   +1 more source

How to Catch the Ball: Fullerene Binding to the Corannulene Pincer

open access: yesMolecules, 2022
The corannulene pincer (also known in the literature as the buckycatcher) is a fascinating system that may encapsulate, among other molecules, the C60 and C70 fullerenes. These complexes are held together by strong π-stacking interactions. Although these
Filipe Menezes, Grzegorz Maria Popowicz
doaj   +1 more source

Empirical entropy in context

open access: yesCoRR, 2007
A survey of some results related to empirical entropy, written in the spring of 2007 as part of an introduction to a PhD ...
openaire   +2 more sources

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

open access: yesMolecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova   +14 more
wiley   +1 more source

Statistical Modeling using A New Hybrid Form of The Inverted Exponential Distribution with Different Estimation Methods

open access: yesInPrime, 2022
This paper introduces a new four-parameter distribution called the exponentiated Gompertz generated inverted exponential (EGGIE) distribution. Explicit expressions of the structural properties such as the ordinary and incomplete moments, probability ...
O. D. Adubisi, C. E. Adubisi
doaj   +1 more source

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

open access: yesFEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman   +4 more
wiley   +1 more source

Partial discharge feature extraction based on synchrosqueezed windowed Fourier transform and multi-scale dispersion entropy

open access: yesMeasurement + Control, 2020
The recognition of partial discharge mode is an important indicator of the insulation condition in transformers, based on which maintenance can be arranged. Discharge feature extraction is the key to recognize discharge mode. To solve the problem of poor
Wang Wenbo, Sun Lin, Wang Bin, Yu Min
doaj   +1 more source

Consistency analysis of an empirical minimum error entropy algorithm

open access: yesApplied and Computational Harmonic Analysis, 2016
In this paper we study the consistency of an empirical minimum error entropy (MEE) algorithm in a regression setting. We introduce two types of consistency. The error entropy consistency, which requires the error entropy of the learned function to approximate the minimum error entropy, is shown to be always true if the bandwidth parameter tends to 0 at
Jun Fan   +3 more
openaire   +3 more sources

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