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This paper is to study the linear minimum variance estimation for discrete-time singular WSN systems with multiplicative noises and additive noises. The state and the state disturbed by multiplicative noise are both included in the observation equation. A simple approach of projection theorem is proposed.
Owing to providing a novel insight for the signal and image processing, compressed sensing (CS) is considered as a promising method for such fields. Successful applications of CS depend mainly on the accuracy and speed of the reconstruction algorithms. Essentially, CS reconstruction process belongs to a discrete inverse problem with finite unknown variables, methods that ensure the numerical stability...
Image reconstruction algorithms play a vital role in the successful applications of the electrical capacitance tomography (ECT). In this paper, a new objective functional, which unifies the regularized least squares (LS) method, the regularized total least squares (TLS) method, the regularized data least squares (DLS) method and the regularized generalized TLS method into a concise formulation, is...
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