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Morlet wavelet and equivalent frequency content

Morlet Wavelet transformed holograms for numerical adaptive view-based reconstruction

Morlet Wavelet transformed holograms for numerical adaptive view-based reconstruction

... THE MORLET WAVELET The analysis so far is limited to the continuous ...Continuous Wavelet transforms (CWT). The Morlet Wavelet does not have a unique spanning ...the frequency ...

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Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection

Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection

... , (15) where P S is the energy of the useful information and P N is the energy of the noise. It is clear that, with the increase of noise amplitude, the correlation values k γ,max and k T,max decreased steadily, ...

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Fringe pattern analysis using a one dimensional modified Morlet continuous wavelet transform

Fringe pattern analysis using a one dimensional modified Morlet continuous wavelet transform

... fringe frequency varies dramatically, broad window size will generate ...signal frequency. It performs very poorly when the signal frequency is low, as it will automatically adjust the window size to ...

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Massively parallel non-stationary EEG data processing on GPGPU platforms with Morlet continuous wavelet transform

Massively parallel non-stationary EEG data processing on GPGPU platforms with Morlet continuous wavelet transform

... The proposed approach adapts the embedded parallelisms in the MCWT algorithm to the many-core architecture of GPU using CUDA platform. The MCWT algorithm has been separated into four main sub-procedures. The ...

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Multi stages helical gearbox fault detection using vibration signal and Morlet wavelet transform adapted by information entropy difference

Multi stages helical gearbox fault detection using vibration signal and Morlet wavelet transform adapted by information entropy difference

... Traditionally, this requirement is met by using an external trigger signal provided by a shaft encoder, and the revolution period of rotating machinery can be obtained. Then, the vibration signal is divided into small ...

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Multi-stages helical gearbox fault detection using vibration signal and Morlet wavelet transform adapted by information entropy difference

Multi-stages helical gearbox fault detection using vibration signal and Morlet wavelet transform adapted by information entropy difference

... adaptive Morlet WT where its parameters are optimized by using maximum Shannon entropy difference is proposed for fault diagnosis of ...central frequency and bandwidth parameters of the wavelet ...

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Image Content Authentication based on Wavelet Edge Features

Image Content Authentication based on Wavelet Edge Features

... where 1 i < k. (1) Step 5: Histogram Shifting In the fifth step a difference histogram is generated based on ACD computed in Step 3. The peak point in the histogram indicates the frequency of occurrence of the ...

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Electro acupuncture (EA) as an adjunct therapy to methadone maintenance treatment (MMT) in heroin addiction: a study of 2D EEG power spectral topography and Morlet wavelet

Electro acupuncture (EA) as an adjunct therapy to methadone maintenance treatment (MMT) in heroin addiction: a study of 2D EEG power spectral topography and Morlet wavelet

... on Morlet wavelet transform together with 2D spectral power topography were applied to demonstrate different brain dynamics in subjects being acupunctured as compared to ...

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Adaptability and Comparison of the Wavelet-based with Traditional Equivalent Linearization Method and Potential Application for Damage Detection

Adaptability and Comparison of the Wavelet-based with Traditional Equivalent Linearization Method and Potential Application for Damage Detection

... A different approach to obtain a local time-frequency analysis (suggested by various scientists, among them Ville), is to cut the signal first into slices, followed by doing a Fourier analysis on these slices. But ...

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Content Based Image Retrieval using Wavelet based MultiResolution Analysis

Content Based Image Retrieval using Wavelet based MultiResolution Analysis

... Haar Wavelet Transform Haar transforms was developed by Alfred Haar in ...simplest wavelet basis consisting of square shaped functions ...local frequency domain. A Haar wavelet decomposes an ...

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Atmospheric teleconnection patterns and eddy kinetic energy content: wavelet analysis

Atmospheric teleconnection patterns and eddy kinetic energy content: wavelet analysis

... most informative detail component. To this end, we consider the correlation coefficient for the signals of NAO indices and K E content (see Table 1). Table 1 shows that the detail component D 7 with the 1- year ...

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An Investigation of Orthogonal Wavelet Division Multiplexing Techniques as an Alternative to Orthogonal Frequency Division Multiplex Transmissions and Comparison of Wavelet Families and Their Children

An Investigation of Orthogonal Wavelet Division Multiplexing Techniques as an Alternative to Orthogonal Frequency Division Multiplex Transmissions and Comparison of Wavelet Families and Their Children

... in wavelet transform, there exists a number of wavelet families/basis and even families’ members, known as the family’s children, that can be utilised in OWDM, ...and equivalent to the ...

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Mining Frequency Content of Network Traffic for Intrusion Detection

Mining Frequency Content of Network Traffic for Intrusion Detection

... datasets, Wavelet transform was applied for data dimensionality reduction, which is similar to that used in [1, ...the Wavelet transform are not reported in this ...

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Application of Wavelet Neural Networks in Optimization of Skeletal Buildings under Frequency Constraints

Application of Wavelet Neural Networks in Optimization of Skeletal Buildings under Frequency Constraints

... the wavelet transform has dual localization, both in frequency and in ...a wavelet called Morlet wavelet after the name of the inventor Jean Morlet in 1984 ...

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Morlet Wavelets in Quantum Mechanics

Morlet Wavelets in Quantum Mechanics

... result, wavelet series will often converge faster than corresponding Fourier ...discrete wavelet basis [10], analysis of localiza- tion properties of photons using windowed wavelets [11], regularization of ...

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On the influence of frequency selectivity of wavelet bases for relative wavelet entropy-based structural damage localization

On the influence of frequency selectivity of wavelet bases for relative wavelet entropy-based structural damage localization

... Abstract— Wavelet analysis of vibration signals measured by sensors placed on dynamically excited linear structures has proved to be an effective tool for detection and localization of structural ...relative ...

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VOD STREAMING WITH A NETWORK CODING EQUIVALENT CONTENT DISTRIBUTION SCHEME

VOD STREAMING WITH A NETWORK CODING EQUIVALENT CONTENT DISTRIBUTION SCHEME

... several encoded blocks by combining the encoding of all blocks in one segment. These encoded blocks are distributed to peers on the system.A child peer needs only to find and link to a sufficient number of parent peers ...

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Wavelet-Based Speech Enhancement Using Time-Frequency Adaptation

Wavelet-Based Speech Enhancement Using Time-Frequency Adaptation

... lower frequency must be ...lower frequency if the frame is categorized as unvoiced ...In frequency domain, these sounds are generally localized in bands that are less than 1 ...the frequency ...

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Wavelet-Based Color Histogram on Content-Based Image Retrieval

Wavelet-Based Color Histogram on Content-Based Image Retrieval

... rapidly. Content Based Image Retrieval System (CBIR) is a technique used for finding relevant images from those huge and unannotated image databases based on low-level features of the query ...level Wavelet ...

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An application using Wavelet coefficients for Video content analysis and retrieval

An application using Wavelet coefficients for Video content analysis and retrieval

... e-mail: [email protected] Abstract: The scheme of video-content analysis and indexing which involving structure analysis, abstraction, feature extraction and indexing poses many challenging research ...

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