... works, [ HTF09 , BvdG11 ] **for** a review **and** references therein. More precisely, some of the most popular estimators in high-dimensional statistics remain the lasso [ Tib96 ] **and** the Dantzig selec- tor ...

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... suited **for** piece- wise smooth images, such as Non-Local Means (NL-means) [ Buades 2005 ], Total Variation Filtering (TV) [ Rudin 1992 ], non-linear isotropic **and** anisotropic diﬀu- sion [ Weickert 1998 ...

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... processing **tools** **for** non invasive AA signal extraction are 1) average beat subtraction (ABS) technique [3], **and** 2) blind source separation (BSS) [4], ...ABS **and** BSS. We intend to extract the ...

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... estimator **for** **Gaussian** ...as **for** an ordered absolute wavelet coefficient set of the j-th source |α j |, the current threshold is selected as the p ...

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... single–source **and** distributed CS scheme, under the constraint of high–rate quantization, providing sim- ulation results that perfectly match the theoretical ...rate **and** in the number of measurements) ...

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... like **Gaussian** or Bernoulli processes [2] [3], guarantee successful signal recovery with high ...deterministic **sensing** matrices of both favorable performance **and** feasible ...deterministic ...

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... 3. **Compressed** **Sensing** Approach Linear methods are easy to use, **and** the variance of each estimator is rather direct to ...common **tools** with efficient ...ful, **and** including ...

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... including **Gaussian** measurements, isolated measurements or blocks in time-frequency bases, that the main result is sharp in the sense that the minimum amount of blocks necessary to reconstruct sparse signals cannot ...

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... Here **and** in the following sections, signal length is N = 512 with sparsity K = ...The **sensing** matrix is composed by ...zero–mean **Gaussian** with variance 1/M . The noise vector is **Gaussian** with ...

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... nates, the basis matrix can be computed offline. We solve the problem by means of a Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) [23], an iterative algorithm where each it- eration involves a shrinkage step. ...

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... Shannon **and** Nyquist’s theorem verifies that under uniform sampling, it is necessary to acquire data at a frequency twice the ...Candès **and** Romberg [5], ...sparse **and** a basis Φ in which the sampling ...

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... Index Terms— Instance optimality, null space property, restricted isometry property, union-of-subspaces 1. INTRODUCTION Traditional results in sparse recovery relate certain properties of a dimensionality-reducing matrix ...

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... tip **and** lip elongations, that disturb the articulator contours estimation from these ...with **compressed** **sensing** [4] **and** with homodyne reconstruction ...techniques **for** MRI to be used in ...

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... 1(b) **for** block-structured sampling), instead of isolated measure- ments (see ...1(a)). **For** instance, in medical echography, images are sampled along lines in the space domain, while, in magnetic resonance ...

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... construction **and** lim n →∞ A n = A, the rank-3 tensor A has no best rank-2 ...orders, **and** ranks; happens regardless of the choice of norm (or even Br`egman divergence) ...probability **and** in some cases ...

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... capacity **and** therefore more powerful electrical ...pixels **and** then **compressed** by some coding algorithms, like the JPEG ...image **for**, finally, retaining only K coefficients may appear to be ...

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... 103) **and** is 610 ×340 pixels, see Figure ...photo-interpret **for** a total of 42776 referenced pixels, see Table 2.(a). 50 pixels **for** each class have been randomly selected from the samples **for** ...

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... trajectories **and** various under-sampling factors are presented in Section ...WT **and** fast curvelets) **for** combined CS-PI MR image ...(pSNR) **and** structural similarity (SSIM) metrics across all ...

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... parsimonious **Gaussian** process models is reviewed **and** 5 additional models are proposed to provide more flexibility to the classifier in the context of hyperspectral image ...a **Gaussian** mixture model ...

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... • Diﬀusion MRI measures the movement of water molecules **and** gives information about white matter microstructure. • The acquisition sequences rely on magnetic ﬁeld gradients. • While pulsed gradient waveforms are ...

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