[THETA] is called the sparse
coefficients and is the transform vector of x in [PSI] domain.
(2) We consider the existence of gross errors and propose a technique based on sparse
optimization overcoming this limitation by extracting the outliers from the data, which successfully generates stealthy FDI attacks in the presence of outliers.
Then it is decomposed into a background matrix and a foreground matrix, where the background matrix is low rank, and the foreground matrix is group sparse
. This low rank constraint is able to automatically model background from both stationary and moving cameras, and the group sparsity constraint improves the robustness to noise.
On one hand, the sparse
reconstruction performance is seriously affected by noises.
Considering the fact that f is sparse
or nearly sparse
in terms of an orthogonal basis, one straightforward approach is to find the sparsest solution of (1) by [l.sub.0] minimization.
In terms of sparse
representation, its extract resolution is an NP-hard problem .
The research of CS theory is mainly divided into three aspects: 1) the sparse
representation of signals; 2) the uncorrelated sampling; 3) sparse
From Classical Truncation Scheme to Sparse
Hypotrichosis is a hair-loss condition that is characterized by sparse
hair on scalp, reduced to absent eyebrows and eyelashes.
array is obtained by removing some antenna elements from the homogeneous array randomly.
This paper proposes a sparse
autoencoder deep neural network with dropout to diagnose the wheel-rail adhesion state of a locomotive.
coding is a powerful tool for the analysis of nonstationary signals [6, 7]; it has achieved significant success in signal denoising and separation.
However, the low frequency subband coefficients obtained by NSCT decomposition are not sparse
, and the fusion of them directly is not conducive to maintain the characteristics of the source image.