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Wavelet decomposition

Optimization of 3-D Wavelet Decomposition on Multiprocessors

Optimization of 3-D Wavelet Decomposition on Multiprocessors

... In this work we have discussed several aspects of performing 3-D wavelet decomposition on a shared memory MIMD architecture. It has been shown, that several optimizations can be applied successfully to the ...

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Design Electronic Stethoscope for Cardiac Auscultation analyzed using Wavelet Decomposition

Design Electronic Stethoscope for Cardiac Auscultation analyzed using Wavelet Decomposition

... After the design of electronic sthetoscope, literature study, planning, experimentation, testing and data collection tools, the authors can conclude that Heart auscultation can be analyze by using wavelet ...

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Analysis of Non-Stationary Time Series using Wavelet Decomposition

Analysis of Non-Stationary Time Series using Wavelet Decomposition

... e t j , = 1 , 2 ,..., and t ∈ Z ( the set of integers) is a sequence of independent and identically distributed random variables with 0 mean, constant variance σ 2 and a i ( ) j , 1 ≤ i ≤ k are constant coefficients. The ...

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Uncertain Feature RCS Analyses based on Wavelet Decomposition

Uncertain Feature RCS Analyses based on Wavelet Decomposition

... The rest of this paper is organized as follows. Section 2 introduces the methodology of RCS uncertainty extraction based on wavelet decomposition. In Section 3, the uncertain part analysis based on ...

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ADDITIVE WAVELET BASED IMAGE FUSION USING A TROUS WAVELET DECOMPOSITION AND IMPROVED NONLINEAR IHS TRANSFORM

ADDITIVE WAVELET BASED IMAGE FUSION USING A TROUS WAVELET DECOMPOSITION AND IMPROVED NONLINEAR IHS TRANSFORM

... paper wavelet based additive wavelet using a trous wavelet decomposition is proposed to solve color distortion due to the large intensity ...

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Detection of Rail Fastener Based on Wavelet Decomposition and PCA

Detection of Rail Fastener Based on Wavelet Decomposition and PCA

... on wavelet decomposition and principal component analysis (PCA) is proposed to solve the problem that the traditional method cannot effectively and quickly detect the rail fastening ...the wavelet ...

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Identification of particle laden flow features from wavelet decomposition

Identification of particle laden flow features from wavelet decomposition

... a wavelet decomposition technique, to first de-noise and filter air pressure signals obtained from laboratory-scale PSAs, and then to visualize data and identify flow ...signal. Wavelet ...

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Analysis of the contour structural irregularity of skin lesions using wavelet decomposition

Analysis of the contour structural irregularity of skin lesions using wavelet decomposition

... discrete wavelet transform (DWT) presents the capability of confining signal components to dyadically increasing width frequency bands with different ...of wavelet decomposition are ...

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Prediction of Tight Sand Reservoir with Multi Wavelet Decomposition and Reconstructing Method

Prediction of Tight Sand Reservoir with Multi Wavelet Decomposition and Reconstructing Method

... multi-wavelet decomposition and reconstruction technology break through the limitations caused by the single wavelet assumption in conventional seismic convolution, and Morlet wavelet function ...

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A New Robust Resonance Based Wavelet Decomposition Cepstral Features for
Phoneme Recoszgnition

A New Robust Resonance Based Wavelet Decomposition Cepstral Features for Phoneme Recoszgnition

... Resonance Wavelet Decomposition Cepstral Coefficients (RWDCC): Speech signal is composed of phonemes with different acoustic characteristics, for example some phonemes have high resonance (oscillatory) ...

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Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering

Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering

... on wavelet decomposition extracts the high-frequency components of the image, and decomposes the high-frequency components into vertical components, horizontal components and diag- onal ...

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Ventricular Arrhythmias Detection using Wavelet Decomposition

Ventricular Arrhythmias Detection using Wavelet Decomposition

... employing Wavelet Transform has been formulated by Prasad et ...using wavelet transform coupled with a neural network classifier achieving an accuracy of over 95% on 40 files of the MIT-BIH Arrhythmia ...

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A Wavelet Decomposition Analysis of Vibration Signal for Bearing Fault Detection

A Wavelet Decomposition Analysis of Vibration Signal for Bearing Fault Detection

... Discrete Wavelet Transform ...every decomposition level were calculated to detect the defect features in vibration signals by referring to the trend of vibrational energy retention at every ...of ...

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Image Enhancement Using Wavelet Decomposition, Super Resolution Algorithm & LUM Filters

Image Enhancement Using Wavelet Decomposition, Super Resolution Algorithm & LUM Filters

... This work proposed an image resolution enhancement techniques based on the wavelet decomposition, LUM Filter and the Super resolution Algorithm using the luminance and the chrominance components of the ...

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Advanced Method of Epileptic detection using EEG by Wavelet Decomposition

Advanced Method of Epileptic detection using EEG by Wavelet Decomposition

... ----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Detection of the epileptic seizures activity helps the epileptic ...

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Undergraduate Student Retention Using Wavelet Decomposition

Undergraduate Student Retention Using Wavelet Decomposition

... basic wavelet transform is the Haar transform described by Alfred Haar in ...of wavelet transforms used ...newer wavelet transform (in 1998 by Ingrid Daubechies) resolves ...

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Discrete and Stationary Wavelet Decomposition for IMAGE Resolution Enhancement

Discrete and Stationary Wavelet Decomposition for IMAGE Resolution Enhancement

... Abstract— An image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by ...

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Texture Classification Using Spline, Wavelet Decomposition and Fractal Dimension

Texture Classification Using Spline, Wavelet Decomposition and Fractal Dimension

... eight wavelet sub-bands that are generated by applying Haar wavelet transform twice times according to dyadic ...the wavelet transform and finally compute the fractal dimension for all the sub-bands ...

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Some Results on the Wavelet Packet Decomposition of Nonstationary Processes

Some Results on the Wavelet Packet Decomposition of Nonstationary Processes

... We see that at coarse resolution levels the coefficients are well approximated by Gaussian distributions, β is close to 2. Such an approximation is no longer valid in higher levels, but generalized Gaussian distributions ...

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Video Denoising With Bi-Dimensional EMD Decomposition Along With Wavelet Thresholding

Video Denoising With Bi-Dimensional EMD Decomposition Along With Wavelet Thresholding

... the wavelet transform (WT) ...the wavelet approach is that the basis functions are fixed, and do not necessarily match varying nature of signals ...Mode Decomposition (EMD) for ana- lyzing data from ...

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