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Multiresolution Analysis

Content Based Image Retrieval using Wavelet based MultiResolution Analysis

Content Based Image Retrieval using Wavelet based MultiResolution Analysis

... Content Based Image Retrieval (CBIR) is an emerging area of engineering application focusing on algorithms and methods to extract image features from a query image and retrieve similar images from large archives. It has ...

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Biometric Applications Based on Multiresolution Analysis Tools

Biometric Applications Based on Multiresolution Analysis Tools

... foetus. This is the most important reason why even fingerprints of identical twins are different. Consequently, human faces are used in conjunction with fingerprints by various law enforcement agencies and border ...

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Multiscale identification of spatio-temporal dynamical systems using a wavelet multiresolution analysis

Multiscale identification of spatio-temporal dynamical systems using a wavelet multiresolution analysis

... In this paper, a new solution to the identification problem of spatio-temporal dynamical systems directly from observations is proposed to tackle the above mentioned two difficulties. The idea behind the proposed method ...

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p-Frame Multiresolution Analysis Related to the Walsh Functions

p-Frame Multiresolution Analysis Related to the Walsh Functions

... R ). A similar generalization of multiresolution analysis can be made in higher dimensions by considering matrix dilations (see [2]). On the other hand, there is considerable interest both in mathematics ...

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Multiresolution analysis over simple graphs for brain computer interfaces

Multiresolution analysis over simple graphs for brain computer interfaces

... Objective: Multiresolution analysis (MRA) offers a useful framework for signal analysis in the temporal and spectral domains, although commonly employed MRA methods such as Daubechies wavelets may ...

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Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection

Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection

... arise. Multiresolution analysis (MRA) has use‑ ful properties for signal analysis in both temporal and spectral analysis, and has been broadly used in the BCI ...statistical analysis, ...

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Detection of suspicious lesion based on Multiresolution Analysis using windowing and adaptive thresholding method

Detection of suspicious lesion based on Multiresolution Analysis using windowing and adaptive thresholding method

... tissue by combining the greylevel feature and shape feature of the lesion. The global and local thresholds required for the detection will be selected adaptively by this algorithm because of which the chances of ...

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Multiresolution Analysis in EEG Signal Feature Engineering for Epileptic Seizure Detection

Multiresolution Analysis in EEG Signal Feature Engineering for Epileptic Seizure Detection

... based multiresolution analysis is an effective tool for identifying distinguishable statistical features and to prepare the feature set for ...this analysis can be subjected to dimensionality ...

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Multiresolution Analysis Adapted to Irregularly Spaced Data

Multiresolution Analysis Adapted to Irregularly Spaced Data

... In reference [15], Buhmann and Micchelli originally presented a theoretical study to perform a multiresolution analysis using spline spaces of arbitrary degree adapted to nonuniform knot sequences. They ...

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Multi-sensor Image Fusion Algorithm Based on Multiresolution Analysis

Multi-sensor Image Fusion Algorithm Based on Multiresolution Analysis

... In 1983, the earliest multi-resolution image fusion tools were proposed by Burt P.J and Adelson E. H, namely, Gauss Pyramid and Laplasse Pyramid. Laplasse Pyramid structure lacks directional information. According to ...

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Stereo Correspondence Based On Multiresolution Analysis

Stereo Correspondence Based On Multiresolution Analysis

... The goal of this research is to find a method that can work with higher accuracy in low computation and implementation complexity. Searching for a possible solution to all the problems present in disparity estimation ...

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Combining data fusion with multiresolution analysis for improving the classification accuracy of uterine EMG signals

Combining data fusion with multiresolution analysis for improving the classification accuracy of uterine EMG signals

... Herein, multiresolution analysis based on the WPT is first applied in order to improve the discrimination power of the selected ...the analysis of nonstationary signals such as the uterine ...

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Fourier analysis, multiresolution analysis and dilation equations

Fourier analysis, multiresolution analysis and dilation equations

... Fourier analysis has already been ...a multiresolution analysis on a locally compact Abelian group is given, and wavelets are constructed on the Cantor dyadic group — but this sort of work seems to ...

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Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction

Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction

... component analysis (ICA), where a computational method for sepa- rating a multivariate signal into additive subcomponents supposing the mutual statistical independence of the non- Gaussian source signals ...

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Multiresolution Analysis using Complex Wavelet and Curvelet Features for Content based Image Retrieval

Multiresolution Analysis using Complex Wavelet and Curvelet Features for Content based Image Retrieval

... The two dimensional DWT implementation decomposes image into three detailed sub-images (LH, HL and HH) corresponding to three different directional orientations (vertical, horizontal and diagonal) and lower resolution ...

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Audio Compression Codec Using a Dynamic Gammachirp Psychoacoustic Model And a D.W.T Multiresolution Analysis

Audio Compression Codec Using a Dynamic Gammachirp Psychoacoustic Model And a D.W.T Multiresolution Analysis

... localization analysis method for non-stationary signal and has been identified as an effective tool for data ...wavelet analysis is ...subband analysis using the discrete wavelet transform and adopts ...

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Facial Expression Recognition Using Multiresolution Analysis

Facial Expression Recognition Using Multiresolution Analysis

... The word multiresolution points to the meaning- multiple resolutions. Very simply, MRA methods are concerned about gathering information using the representation and analysis of signals or functions in more ...

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Recognition of Planar Objects Using Multiresolution Analysis

Recognition of Planar Objects Using Multiresolution Analysis

... In [ 4 ], where the a ffi ne-invariant function η ( t ) is proposed, and constructed from wavelet coe ffi cients, the first finest scales have been avoided because they are sensitive to nois[r] ...

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Respiratory Sound Identification using Wavelet Multiresolution Analysis

Respiratory Sound Identification using Wavelet Multiresolution Analysis

... sound analysis is important identification method for respiratory ...sound analysis using stethoscope is not reliable method as it is depends on human ...sound analysis is more preferable. In this ...

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Texture analysis and synthesis using the multiresolution Fourier transform

Texture analysis and synthesis using the multiresolution Fourier transform

... the multiresolution pyramid can both well describe localised image features over different ...the analysis task is performed and provide a rigorous basis for multiresolution ...the ...

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