Results 151 to 160 of about 640,363 (194)

Analysis of the Intrinsic Mode Functions for Speaker Information

Speech Communication, 2017
Abstract This work explores the utility of the time-domain signal components, or the Intrinsic Mode Functions (IMFs), of speech signals’, as generated from the data-adaptive filterbank nature of Empirical Mode Decomposition (EMD), in characterizing speakers for the task of text-independent Speaker Verification (SV). A modified version of EMD
Rajib Sharma, S. R. M. Prasanna, Ramesh K. Bhukya, Rohan Kumar Das   +3 more
openaire   +1 more source

A PDE model for 2D intrinsic mode functions

2009 16th IEEE International Conference on Image Processing (ICIP), 2009
In this paper, we provide some theoretical contributions on the study of the 2D empirical mode decomposition (EMD). For doing this, we model the 2D sifting process (SP) in a suitable way, which helps us prove its convergence. Indeed, we prove that the 2D SP converges towards the solution of a fourth order partial differential equation (PDE).
El-Hadji Samba Diop, Radjesvarane Alexandre, Abdel-Ouahab Boudraa   +2 more
openaire   +1 more source

Detection of periodic components from intrinsic mode function

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017
The empirical mode decomposition (EMD) combines with Hilbert Transform is a common method of nonlinear and non-stationary signal time frequency analysis. Signal can be decomposed into different intrinsic mode functions (IMF) through the EMD. Each IMF represents a simple oscillation which provides meaningful instantaneous frequency through Hilbert ...
Cong Feng, Hui Li
openaire   +1 more source

Analysis of Simulated Heart Sounds by Intrinsic Mode Functions

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
The mechanisms involved in the generation of heart sounds have always been of interest, mainly for diagnosis purposes. As a result, mathematical models have been proposed for first (S1) and second (S2) heart sounds and different efforts have been made to select the best signal processing tool to analyze them.
Sonia Charleston-Villalobos, Tomás Aljama-Corrales, Ramón González-Camarena   +2 more
openaire   +2 more sources

Analysis of 2D intrinsic mode function

2009 International Conference on Test and Measurement, 2009
The definition of 2D IMF is very important for bidimensional empirical mode decomposition of images. V. Vatchev analyzed 1D IMF in his doctoral dissertation, and introduced the concept of weak-IMF which point out that the solution of Sturm-Liouville equations can be regarded as 1D weak-IMF.
null Jincai Chang, null Aimin Yang, null Dianxuan Gong, null Zhao Wang   +3 more
openaire   +1 more source

Intrinsic Fourier Mode Functions

Advances in Data Science and Adaptive Analysis, 2017
In this paper, we study a class of functions that exhibit properties expected from intrinsic mode functions. A type of an empirical instantaneous frequency, depending on the extrema scale, is introduced and its proximity to the classical analytic instantaneous frequency is discussed.
openaire   +1 more source

CONSTRUCTING CROSSOVER-FRACTALS USING INTRINSIC MODE FUNCTIONS

Advances in Adaptive Data Analysis, 2010
Real nonstationary time sequences are in general not monofractals. That is, they cannot be characterized by a single value of fractal dimension. It has been shown that many real-time sequences are crossover-fractals: sequences with two fractal dimensions — one for the short and the other for long ranges.
Sy-Sang Liaw, Feng-Yuan Chiu
openaire   +1 more source

THE UNIQUENESS OF THE INSTANTANEOUS FREQUENCY BASED ON INTRINSIC MODE FUNCTION

Advances in Adaptive Data Analysis, 2013
It has been claimed that any expression of a(t) cos θ(t) with a(t) as the instantaneous amplitude and cos θ(t) as the carrier varying along with the phase θ(t) could not be uniquely defined. However, based on the fact that a(t) cos θ(t) with all its variational forms have the same numerical value at any given time, we propose the existence of a unique
Norden E. Huang, Hsu-Wen Vincent Young, Men-Tzung Lo, Yung-Hung Wang, Chung-Kang Peng, Xianyao Chen, Gang Wang, Jia Deng, Zhaohua Wu   +8 more
openaire   +1 more source

Hyperspectral Image Classification Using Denoising of Intrinsic Mode Functions

IEEE Geoscience and Remote Sensing Letters, 2011
This letter proposes the use of denoising in conjunction with 2-D empirical mode decomposition (2D-EMD) of hyperspectral image bands for higher classification accuracy. Initially, 2D-EMD is performed to hyperspectral image bands for decomposition into intrinsic mode functions (IMFs). Then, denoising is applied to the first IMF of each band because this
Begüm Demir, Sarp Ertürk, M. Kemal Güllü   +2 more
openaire   +3 more sources

INTRINSIC MODE FUNCTIONS OF EARTHQUAKE SLIP DISTRIBUTION

Advances in Adaptive Data Analysis, 2010
In this paper, empirical mode decomposition technique is used to analyze the spatial slip distribution of five past earthquakes. It is shown that the finite fault slip models exhibit five empirical modes of oscillation. The last intrinsic mode is positive and characterizes the non-stationary mean of the slip distribution.
openaire   +1 more source