complex-wavelet
Estimation of aortic pulse wave transit time in cardiovascular magnetic resonance using complex wavelet cross-spectrum analysis
... on complex wavelet approach which enables temporal localization of signal frequencies and thus, a proper restriction of the analysis to the systolic ...
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Complex wavelet regularization for solving inverse problems in remote sensing
... Dual-Tree Complex Wavelet transform (DTCW) ...This wavelet transform is built using two real wavelets ...these wavelet transforms give the real part of the transform while the other provides ...
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Revisiting Functional Connectivity for Infraslow Scale-Free Brain Dynamics using Complex Wavelet
... (a) (b) (c) Figure 2. Complex Wavelet-based connectivity on synthetic bivariate fractional Gaussian noise with correlation but no delay. W-COH (a), W-ICOH (b) and W-wPLI (c) as function of octaves j and ...
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Hybrid SAR Speckle Reduction Using Complex Wavelet Shrinkage and Non-Local PCA-Based Filtering.
... After despeckling the SAR image in the complex wavelet domain, we proposed to use the LPG-PCA method developed 160.. in [36].[r] ...
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Satellite Image Deconvolution Using Complex Wavelet Packets
... The complex wavelet packets enable one to divide the frequency space into more directions than the ...the wavelet packet decomposition processes the detail subbands, which are strongly ...
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Complex wavelet regularization for 3D confocal microscopy deconvolution
... years, wavelet transforms have been used in image processing to restore thin details of complex ...usual wavelet transforms suer from shift variance and from a lack of directional se- ...a ...
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Comparing wavelet transforms for recognizing cardiac patterns
... The variables extracted from the temporal analysis of the patterns were: the maximum magnitude of the P, QRS and T waves, and the PQ and ST interval durations. The representation, based on the power spectral density, was ...
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Wavelet speech enhancement based on time-scale adaptation
... When the noise or the Signal-to-Noise Ratio (SNR) is known, contempo- rary techniques can yield quasi-optimal solutions to the problem of denoising. For example, the algorithm developed by Ephraim and Malah (Ephraim and ...
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Wavelet noise reduction : application to speech enhancement
... time-adapted threshold becomes very close to the original clean speech (Fig. 2-d). 5. Conclusion The proposed method constitutes a successful application of the wavelet thresholding for speech enhancement. The ...
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Divergence of wavelet series: A multifractal analysis
... ∞ if the sequence n c (i) j,k 2 sj o belongs to l ∞ . Remark 2.3. The chosen normalization of the coefficients in this definition of the discrete Besov spaces is not the one usually considered, see [ 25 ]: this is ...
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Wavelet series representations for pathwise Young integrals
... Is it possible to find approximation procedures for Y allowing to have better rates of convergence than the one provided by (1).. C.A[r] ...
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Wavelet Algorithms for Complex Models
... These figures CPU time for a complete time of h min, with a maximum memory use of only account for the direct illumination, Soda Hall scene input polygons, light sources, final mes[r] ...
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Wavelets on the Interval and Fast Wavelet Transforms
... Let us restrict to the half line (the interval is analogous). The second step is automatic: all the edge functions we have in- troduced are finite linear combinations of [r] ...
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Phase retrieval for the Cauchy wavelet transform
... the wavelet transform are totally negligible: for some j, f ⋆ ψ j (x) ≈ 0 for any ...the wavelet transform of the reconstructed signal and of the original one is proportional to the amount of noise (and ...
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Wavelet-Based Modelling of Spectral BRDF Data
... The wavelet-based representation cor- rectly handles the backscattering of the sand sample (Figure 7b) and the relative "specularity" of the cloth sample (Figure ...
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Localization of self-potential sources in volcano-electric effect with complex continuous wavelet transform and electrical tomography methods for an active volcano
... T ERMS : 0903 Exploration Geophysics: Computational methods, potential fields; 3260 Mathematical Geophysics: Inverse theory; 6982 Radio Science: Tomography and imaging; 8419 Volcanology: Eruption monitoring (7280); 8424 ...
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Localization of self-potential sources in volcano-electric effect with complex continuous wavelet transform and electrical tomography methods for an active volcano
... T ERMS : 0903 Exploration Geophysics: Computational methods, potential fields; 3260 Mathematical Geophysics: Inverse theory; 6982 Radio Science: Tomography and imaging; 8419 Volcanology: Eruption monitoring (7280); 8424 ...
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Variational multi-wavelet restoration of noisy images
... 1. PROBLEM STATEMENT AND RELATED WORK Noise removal in images is a common issue for a wide range of applications: multimedia, teledetection, underwater imag- ing, medical imaging,.... Two main categories of techniques ...
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Wavelet-based multiscale simulation of incompressible flows
... the wavelet coefficients are predominantly zero. A proliferation of wavelet coefficients exceeding the threshold, in any region of the discrete solution, indicates the presence of struc- tures that ...
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Wavelet-based Compression of 3D Mesh Sequences
... (c) C OW (4 decomposition levels). Fig. 11. Curves KG Error/bitrate relative to different compression methods. VII. C ONCLUSIONS AND FUTURE WORKS In this paper we introduce a temporal lifting scheme for the geometry of ...
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