Results 81 to 90 of about 640,363 (194)

Audio encoding based on the empirical mode decomposition

, 2009
National audienceThis paper deals with a new approach for perceptual audio encoding, based on the Empirical Mode Decomposition (EMD). The audio signal is decomposed adaptively into intrinsic oscillatory components by EMD called Intrinsic Mode Functions ...
Boudraa, Abdel-Ouahab, Chonavel, Thierry, Khaldi, Kais, Samaali, Imen, Turki, Monia   +4 more
core   +2 more sources

Speech Enhancement Using Sliding Window Empirical Mode Decomposition and Hurst-based Technique

Archives of Acoustics, 2019
The most challenging in speech enhancement technique is tracking non-stationary noises for long speech segments and low Signal-to-Noise Ratio (SNR).
Selvaraj POOVARASAN, Eswaran CHANDRA
doaj   +1 more source

The source-lens clustering effect in the context of lensing tomography and its self-calibration

, 2015
Cosmic shear can only be measured where there are galaxies. This source-lens clustering (SLC) effect has two sources, intrinsic source clustering and cosmic magnification (magnification/size bias). Lensing tomography can suppress the former.
Cui, Weiguang, Lin, Weipeng, Yu, Yu, Zhang, Pengjie   +3 more
core   +1 more source

Evolution of intrinsic ellipticity correlations due to peculiar motion

, 2012
Topic of this paper is the time-evolution of intrinsic correlations of galaxy ellipticities due to peculiar motion. In our model, the galaxy ellipticities are determined from the angular momentum of their host haloes, which can be computed from the ...
Giahi-Saravani, Aram, Schaefer, Bjoern Malte   +1 more
core   +1 more source

Equivalent Effect Function and Fast Intrinsic Mode Decomposition

CoRR, 2011
The Equivalent Effect Function (EEF) is defined as having the identical integral values on the control points of the original time series data; the EEF can be obtained from the derivative of the spline function passing through the integral values on the control points.
openaire   +2 more sources

Improved complete ensemble empirical mode decomposition with adaptive noise and composite multiscale permutation entropy for denoising blast vibration signal

Heliyon
Monitoring the building blast vibration signal is an efficient way to determine the power of blast vibration hazards. Due to the harsh measurement environment, noise is inevitably introduced into the recorded signals.
Yi-ze Kang, Ying-kang Yao, Run-long Dong, Yong-sheng Jia, Quan-min Xie, Jian-ning Wang   +5 more
doaj   +1 more source

Dam Deformation Data Preprocessing with Optimized Variational Mode Decomposition and Kernel Density Estimation

Remote Sensing
Deformation is one of the critical response quantities reflecting the structural safety of dams. To enhance outlier identification and denoising in dam deformation monitoring data, this study proposes a novel preprocessing method based on optimized ...
Siyu Chen, Chaoning Lin, Yanchang Gu, Jinbao Sheng, Mohammad Amin Hariri-Ardebili   +4 more
doaj   +1 more source

Update on EMD and Hilbert-Spectra Analysis of Time Series [PDF]

This method is especially well suited for analyzing time-series data that represent nonstationary and nonlinear physical phenomena. The method is based principally on the concept of empirical mode decomposition (EMD), according to which any complicated ...
Huang, Norden E.
core   +1 more source

Analysis of the Intrinsic Mode Functions [PDF]

, 2004
Veseelin Vatchev, Robert C. Sharpley
openaire   +1 more source

Hybrid Empirical and Variational Mode Decomposition of Vibratory Signals

Algorithms
Signal analysis is a fundamental field in engineering and data science, focused on the study of signal representation, transformation, and manipulation. The accurate estimation of harmonic vibration components and their associated parameters in vibrating
Eduardo Esquivel-Cruz, Francisco Beltran-Carbajal, Ivan Rivas-Cambero, José Humberto Arroyo-Núñez, Ruben Tapia-Olvera, Daniel Guillen   +5 more
doaj   +1 more source