Signal Analysis and Reconstruction in a Limited Colatitude
Optimal Signal Reconstruction Using the Empirical Mode Decomposition
... for reconstruction from ...EMD signal reconstruction that are optimal in the minimum mean square error sense are ...given signal by linear weighting of the ...a signal, BOSR is then ...
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Brain Signal Analysis
... three-dimensional reconstruction, visualization, and for measurements including brain volume changes in developmental brain diseases such as Alzheimer’s disease and ...
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Thermographic signal reconstruction for vibrothermography
... eases analysis and reduces storage ...The signal-to-residual ra- tio is mapped both to color saturation and opaqueness of the colorized pixel over the grayscale background ...
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Application of bispectrum based signal reconstruction to sEMG signal
... "Bispectral Analysis of Filtered Impulse Processes with Applications to the Anaysis of Bioelectric Phenomena", Workshop on Higher-Order Spectral Analysis, 1989, pp 140 145, ...
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Graph Signal Processing: Reconstruction Algorithms
... representation, analysis, and compression of such data is a challenging task that requires the development of new tools that can identify and properly exploit data ...
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XENON1T dark matter data analysis: Signal reconstruction, calibration, and event selection
... data analysis that led to the most stringent exclusion limits on various WIMP- nucleon interaction models to ...particular, signal reconstruction, event selection, and calibration of the detector ...
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Bandlimited graph signal reconstruction by diffusion operator
... three reconstruction algorithms follow the methodol- ogy of projection onto convex ...of signal processing on graphs, the edge denotes the relationship of vertices, which also denotes the relationship of ...
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An Efficient Localization Method Using Signal Reconstruction
... transmitted signal based on the principal component ...transmitted signal for ...unknown signal waveform, motivated by an attempt to approximate the DPD-known algorithm, a new DPD algorithm, ...the ...
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Feature Extraction and Signal Reconstruction of Air and Bone Conduction Voices by Independent Component Analysis
... Component Analysis Tadahiro Azetsu, Eiji Uchino, Ryosuke Kubota, and Noriaki Suetake ∗ Abstract—We discuss in this paper the feature ex- traction and signal reconstruction of air and bone con- ...
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Signal Reconstruction by Using the Samples of Derivative Signal in Asynchronous Level-Crossing Converter
... a signal with samples of derivative signal with Level Crossing ...analog signal without any loss of quality while conventional A/D’s create more distortion if the dynamic range suddenly ...during ...
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Sub-Nyquist signal-reconstruction-free operational modal analysis and damage detection in the presence of noise
... CS signal recovery ...and signal reconstruction steps have further been considered by Zou et ...that signal reconstruction from CS measurements in time-domain is not required in ...
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Sparse Signal Reconstruction using Basis Pursuit Algorithm
... sparse signal recovery is ...mathematical analysis for basis pursuit to ...sparse signal faithfully. The basic knowledge of signal processing, linear algebra and statistics will help to ...
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Signal reconstruction by means of Embedding, Clustering and AutoEncoder Ensembles
... and analysis, in Section 4 we discuss the ...audio signal we obtained altered signals by Doppler effect, by reverb in a small-hall and in a large-hall scenario and by the combination of the reverb scenarios ...
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Sparse Signal Reconstruction via ECME Hard Thresholding
... sparse signal reconstruction and developed three hard thresholding methods based on this framework: ECME, DORE, and ...and reconstruction performances of the proposed ECME and DORE ...theoretical ...
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Design of Hardware-Efficient Signal Reconstruction for Embedded Computing
... The proposed MIB transform is further evaluated for video processing appli- cations. In such applications, especially remote wireless video monitoring systems under the severe energy constraint, compressive sensing is a ...
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A greedy algorithm with learned statistics for sparse signal reconstruction
... 4. ANALYSIS OF CAMP CAMP provides an easy way to incorporate the mean and covariance of the non-zero coefficients in the update step of OMP. The covariance reflects the statistical dependencies of the non-zero ...
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A clean signal reconstruction approach for coherently combining multiple radars
... not limited to reconstruct the clean signal from the signal mixed with up- and down- chirp waveforms and, for a signal mixed with general orthogonal waveforms, ...
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EGFR Signal-Network Reconstruction Demonstrates Metabolic Crosstalk in EMT.
... is limited understanding of the metabolic alterations that give rise to and take place during ...and analysis of the breast epithelial EMT cell model D492 and its mesenchymal counterpart ...EGFR ...
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Non-linear Down-sampling and Signal Reconstruction, Without Folding
... VI. C ONCLUSION AND F UTURE W ORK The proposed compression reduces bandwidth require- ment for signal transmission. LPC Analysis and Synthesis of Speech are also possible in compressed signal. We ...
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Upper-Bounding the Regularization Constant for Convex Sparse Signal Reconstruction
... Reconstruction Abstract Consider reconstructing a signal x by minimizing a weighted sum of a convex differentiable negative log- likelihood (NLL) (data-fidelity) term and a convex regularization term that ...
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