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This paper is concerned with the open-circuit fault diagnosis of phase-controlled three-phase full-bridge rectifier by using a sparse autoencoder-based deep neural network (SAE-based DNN).
In this paper, the problem of direction-of-arrival (DOA) estimation for monostatic multiple-input multiple-output (MIMO) radar with gain-phase errors is addressed, by using a sparse DOA estimation algorithm with fourth-order cumulants (FOC) based error matrix estimation.
The rain component is then extracted from the high-frequency portion by using a sparse representation-based dictionary partition in which the dictionary is classified using HOG in each atom where the bilateral filter is used to separate the low-frequency part from its high-frequency part of an input image.
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A simpler, simultaneous equation model was assumed by setting Φ to zero and estimating B row-by-row using a sparse regression technique.
The goal of CS is to perform good reconstruction of the signal by using a few sparse samples.
In this study, we develop a Laplace-domain waveform modeling and inversion algorithm for 3D acoustic elastic coupled media by using a parallel sparse direct solver library (MUltifrontal Massively Parallel Solver, MUMPS).
The low recombination rate in males means that the inheritance of large sections of the genome from sire to offspring can be tracked by genotyping individuals using a sparse marker set.
Here, the sparse representation of disparities are inferred by a dictionary which is learned using a sparse coding technique which can cope up with non stationary depth estimation errors.
Following the construction in [17 19], GLD codes are defined using a sparse matrix constructed by replacing each row in a sparse parity-check matrix, which indeed defines an LDPC code, with rows including one copy of the parity-check matrix of the constituent code Here, is usually a block code of code length n and information bit length k, such as BCH code and Reed-Solomon (RS) code.
The adventures of the Little Prince are executed using a sparse, stop-motion technique.
Motivated by the merit of sparse models, in this paper we propose a novel feature selection method using a sparse model.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com