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transform-based spectral analysis

Discrete Wavelet Transform-Based Whole-Spectral and Subspectral Analysis for Improved Brain Tumor Clustering Using Single Voxel MR Spectroscopy

Discrete Wavelet Transform-Based Whole-Spectral and Subspectral Analysis for Improved Brain Tumor Clustering Using Single Voxel MR Spectroscopy

... An expert panel (including spectroscopists, pathologists and radiologists) validated the brain tissue types included in this study as part of the eTUMOUR project, with a histopathological diagnosis of the central ...

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Analysis and application of the spectral warping transform to digital signal processing

Analysis and application of the spectral warping transform to digital signal processing

... SW transform are in the area of Digital Signal Processing (DSP)-based analogue and mixed-signal ...Fourier transform of the chirp response is ...

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HOUGH TRANSFORM BASED BROWNBOOST FISHER LINEAR DISCRIMINANT HYPER-SPECTRAL AERIAL IMAGE CLASSIFICATION

HOUGH TRANSFORM BASED BROWNBOOST FISHER LINEAR DISCRIMINANT HYPER-SPECTRAL AERIAL IMAGE CLASSIFICATION

... higher. Spectral-Spatial Convolutional Neural Networks was presented in [8] for classification of very high resolution aerial ...a spectral-spatial feature based classification (SSFC) framework was ...

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Fourier and Wavelet Spectral Analysis of EMG Signals in 1 km Cycling Time Trial

Fourier and Wavelet Spectral Analysis of EMG Signals in 1 km Cycling Time Trial

... the spectral de- composition of muscle generally uses mathematical algorithms such as the Fast Fourier Transform (FFT) ...wavelet transform (WT), in its discrete or continuous versions (DWT and CWT, ...

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Neuro-Fuzzy Gait Generator for a Biped Robot-

Neuro-Fuzzy Gait Generator for a Biped Robot-

... The spectral analysis of a signal can reveal some information that cannot be found in ...Fourier transform (FFT) cannot handle arbirary and more complex ...high-resolution spectral estimation ...

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Heart Rate and Heart Rate Variability Estimation using Spectral Analysis

Heart Rate and Heart Rate Variability Estimation using Spectral Analysis

... To prevent the shortcomings, Pan- Tompkins system and wavelet transform were designed [4]. It helps to find the rate of heart beat from profoundly exact RR interval time arrangement. However, it makes multiple non ...

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An Application of PCA in ECG Classification with Cross - Validation

An Application of PCA in ECG Classification with Cross - Validation

... used spectral methods based on Fast Fourier Transform (FFT ) or standard autoregressive modelling,[3] used nonlinear approaches, including Markov modelling ,[4] compared different entropy- ...

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Simulation Of Fault Diagnosis Of Induction Motor Based On Spectral Analysis Of Stator Current Signal Using Fast Fourier Transform

Simulation Of Fault Diagnosis Of Induction Motor Based On Spectral Analysis Of Stator Current Signal Using Fast Fourier Transform

... motor based on spectral analysis of stator current signal using Fast Fourier Transform (FFT) is proposed in this ...is based on a study of the frequency spectrum of stator using FFT ...

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Short Exon Detection in DNA Sequences Based on Multifeature Spectral Analysis

Short Exon Detection in DNA Sequences Based on Multifeature Spectral Analysis

... problem based on multifeature spectral ...sentations based on four DNA structural features, including the DNA-bending sti ff ness, disrupt energy, free energy and propeller ...model-based ...

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Fault Detection and Isolation in Industrial Systems Based on Spectral Analysis Diagnosis

Fault Detection and Isolation in Industrial Systems Based on Spectral Analysis Diagnosis

... the spectral analysis approach, in the area of fault detection and isolation industrial ...Fourier transform does not allow the temporal local- ization of these components ...combined analysis ...

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Study on the Applicability of Landsat 8 Images as a Tool for Monitoring the Trophic State of Lake Guiers (Senegal)

Study on the Applicability of Landsat 8 Images as a Tool for Monitoring the Trophic State of Lake Guiers (Senegal)

... vealed that the measured concentrations are well reproduced by the regres- sion model. Applying this model to the 2013 and 2016 image data revealed the monthly variations of the lake CHL-a contents and their seasonal ...

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Time-varying bispectral analysis of visually evoked multi-channel EEG

Time-varying bispectral analysis of visually evoked multi-channel EEG

... wavelet transform based approach might appear to be suited to detection of such transient waveforms, it must be pointed out that in the presence of jitter, ensemble averaging of time-domain signal ...

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IMAGE FUSION ALGORITHM USING SVM IN CURVELET DOMAIN

IMAGE FUSION ALGORITHM USING SVM IN CURVELET DOMAIN

... Fusion Based on Wavelet and Curvelet ...algorithm based on wavelet transform and second generation Curvelet ...wavelet transform does not represent the edges and singularities ...Curvelet ...

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DERANGEMENT IN AUTONOMIC FUNCTIONS WITH ELEVATED BLOOD PRESSURE

DERANGEMENT IN AUTONOMIC FUNCTIONS WITH ELEVATED BLOOD PRESSURE

... One-way Analysis of variance (ANOVA) followed by post hoc Bonferroni was used for comparing continuous variables (anthropometric indices, HRV parameters, and E/I ratio)between the ...test. Analysis of ...

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Methodology for metrological analysis of periodic coding images: measurement resolution and spatial resolution

Methodology for metrological analysis of periodic coding images: measurement resolution and spatial resolution

... an analysis per digital image ...DIC, based on an assumption of uniform translation and a bilinear interpolation of the gray levels of the final image ...this analysis does not make any assumption a ...

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Time-Frequency Domain Characterization of Stationary and Non stationary Signals

Time-Frequency Domain Characterization of Stationary and Non stationary Signals

... the spectral analysis of signals for the stationary as well as non-stationary ...signal analysis, this paper uses Fourier transform, Short time Fourier transform, wavelet ...

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An Improved EZW Hyperspectral Image Compression

An Improved EZW Hyperspectral Image Compression

... Hyperspectral images are widelyused in various fields such as agriculture, topography, meteorology and mili- tary, since they can provide more accurate and detailed spectral information than other images. NASA Jet ...

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Parameterized Spectral Bathymetric Roughness Using the Nonequispaced Fast Fourier Transform

Parameterized Spectral Bathymetric Roughness Using the Nonequispaced Fast Fourier Transform

... spectra based on profiles, Fox (1985) and Fox and Hayes (1985) employed a suitable province picker from Davis (1974) and the amplitude spectrum as the statistical indicator of ...

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Color Image Compression Based On Adaptive Spectral Transform and Coded Decision

Color Image Compression Based On Adaptive Spectral Transform and Coded Decision

... The well-known grayscale image coding method SPIHT encodes and transmits wavelet coefficients in multiple coding passes corresponding to bit planes (in the order from the most significant to the least significant). In ...

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Performance analysis of image super resolution using wavelets transform based on sampling

Performance analysis of image super resolution using wavelets transform based on sampling

... Wavelet Transform (SWT) and Discrete Wavelet change (DWT) are utilizing as a part of our proposed work for actualizing the Super Resolution of the specific ...wavelet Transform (SWT), then we are applying ...

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