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mode functions

Robust image steganography by embedding selective 
		intrinsic mode functions with discrete wavelet transform

Robust image steganography by embedding selective intrinsic mode functions with discrete wavelet transform

... 2D-EMD method is used to select the prominent texture features of the secret image. EMD is a fully data driven method that decomposes the data to orthogonal intrinsic mode functions. Here low order IMFs ...

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Electricity Load Demand Forecast using Fast Ensemble-Decomposed Model

Electricity Load Demand Forecast using Fast Ensemble-Decomposed Model

... This study, therefore, develops a new method to forecast long-term electricity load demand using Fast Ensemble-Decomposed (FED) model that involves four simple steps only to model and forecast long-term electricity load ...

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DENOISING 0F ECG SIGNAL AND QRS PEAK DETECTION USING EMPIRICAL MODE DECOMPOSITION

DENOISING 0F ECG SIGNAL AND QRS PEAK DETECTION USING EMPIRICAL MODE DECOMPOSITION

... The drift of the base line with respiration can be represented by a sinusoidal component at the frequency of respiration added to the ECG signal. The amplitude and frequency of the sinusoidal component should be ...

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Digital Audio Watermarking using EMD for Voice Message Encryption with Added Security

Digital Audio Watermarking using EMD for Voice Message Encryption with Added Security

... Empirical Mode Decomposition (EMD) is ...Intrinsic Mode Functions ...frequency mode stable under different attacks and preserving the perceptual quality of the host ...

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Frequency Demodulation Analysis of Mine Reducer Vibration Signal

Frequency Demodulation Analysis of Mine Reducer Vibration Signal

... Empirical mode decomposition method in Hilbert-Huang Transform, The intrinsic mode functions which satisfy Single-component condition were obtained, The instantaneous frequency was calculated, The ...

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A Fault Diagnosis Approach for Gears Based on IMF AR Model and SVM

A Fault Diagnosis Approach for Gears Based on IMF AR Model and SVM

... condition; more importantly, an accurate AR model can reflect the characteristics of a dynamic system. Additionally, it is indicated that the autoregression parameters of AR model are very sensitive to the condition ...

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Using modern time series analysis techniques to predict ENSO events from the SOI time series

Using modern time series analysis techniques to predict ENSO events from the SOI time series

... Empirical Mode Decomposition (EMD), in which a time series is decomposed into a set of intrinsic mode functions (IMF) derived from the data itself (Huang et ...

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Dynamics of coupled bosonic systems with applications to preheating

Dynamics of coupled bosonic systems with applications to preheating

... quantized mode functions and the effect of fluctuations on the zero mode equations of motion for various parameters, including small and large amplitude os- cillations and large and weak coupling ...

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Analysis of Radar Echoes using Soft Thresholding De-Noising Techniques

Analysis of Radar Echoes using Soft Thresholding De-Noising Techniques

... Empirical Mode Decomposition prepare on LAWP radar information to get the Intrinsic Mode ...Intrinsic Mode Functions and examined for the doppler reverberate ...

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Noise-assisted multivariate empirical mode decomposition for multichannel EMG signals

Noise-assisted multivariate empirical mode decomposition for multichannel EMG signals

... intrinsic mode functions (IMFs), amplitude- and/or frequency-modulated components repre- senting its inherent oscillatory ...the mode-mixing and physically produce more unique frequency ...

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Decomposition of 3D medical image based on Fast and Adaptive Bidimensional Empirical Mode Decomposition

Decomposition of 3D medical image based on Fast and Adaptive Bidimensional Empirical Mode Decomposition

... Among the methods of image decomposition existing in the literature (for example wavelet [11]), Empirical Mode Decomposition (EMD) [12] is a flexible technique of signal decompose- tion. EMD considers the signal ...

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Audio Type Identification Using EEMD: A Noise Assisted Data Analysis Method

Audio Type Identification Using EEMD: A Noise Assisted Data Analysis Method

... The EMD decomposes the original signal into a definable set of adaptive basis of functions called the intrinsic mode functions. Each IMF must satisfy two basic conditions: In the whole data set, the ...

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On the Performability of Hierarchical Wireless Networked Control Systems

On the Performability of Hierarchical Wireless Networked Control Systems

... Performability is an important metric to assess the robustness of a fault-tolerant system [17]. It simultaneously takes into account component failures and performance. Performability starts with a Markov model (like the ...

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Architecture of Windows NT Operating System

Architecture of Windows NT Operating System

... Abstract — The architecture of Windows NT, a line of operating systems produced and sold by Microsoft, is a layered design that consists of two main components, user mode and kernel mode. It is a ...

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Configuration, Programming, Implementation, and Evaluation of Distributed Control System for a Process Simulator

Configuration, Programming, Implementation, and Evaluation of Distributed Control System for a Process Simulator

... For NPCTF, control architecture of the whole system, named as “PCTF_SIMON”, is designed in the “Areas” level. Each sub-system is designed at the “Modules” level, as shown in Figure 3.14. Each sub-system includes the ...

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FPGA Implementation of the CORDIC Algorithm for Fingerprints Recognition Systems

FPGA Implementation of the CORDIC Algorithm for Fingerprints Recognition Systems

... In this work, we exploit the FPGA circuit capacity to design a reconfigurable architecture for computation of elementary functions such as sine, cosines, exponential and arctangent using this algorithm. We focus ...

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130906-00_TVI_922_Operators_Manual_Sep84.pdf

130906-00_TVI_922_Operators_Manual_Sep84.pdf

... The parameters you can change in set up include communication and printing features, and also such functions as terminal control mode, display characteristics, ter[r] ...

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Re examining how utility and weighting functions get their shapes: a quasi adversarial collaboration providing a new interpretation

Re examining how utility and weighting functions get their shapes: a quasi adversarial collaboration providing a new interpretation

... To this end, in one series of level 3 experiments, which we refer to as flagged experiments, we used a within-subject design and presented participants with choice options originating from two different choice sets: one ...

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Datapro C25 Perkin Elmer pdf

Datapro C25 Perkin Elmer pdf

... For example, the operator performs editing functions as well as the following: enters configuration mode, program mode, or transparent mode; places the terminal alternately on-line or of[r] ...

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Research of Chinese Government Financial Reform Based on the Comparisons of  Advanced Budget Management Modes

Research of Chinese Government Financial Reform Based on the Comparisons of Advanced Budget Management Modes

... Finance should first serve the socialist democratic politics and socialist market economy, that is to say, finance is the basis of national administration and an important pillar, scientific fiscal and taxation systems ...

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