In the future, this method has the potential to discover the hidden and possibly sparse structure of the anatomy.
Then, an LMI-based procedure for designing non-fragile H∞ filters with the sparse structure is provided.
If the system matrix related to the linear system is sparse, it is desirable to use a sparse structure.
Recent developments in the theory of compressed sensing (CS) provide a rigorous framework to estimate signals with sparse structure.
This selective inversion preserves the sparse structure of the problem and leads to substantial savings in computer effort.
Moreover, this analytic preconditioner shows highly-desirable advantages: sparse structure, ease of implementation and low additional computational cost.
It highlights the importance of Asia and it notes the challenges the United States faces in operating region: the vast distances, sparse structure of military bases and the slow but steady Chinese military buildup.
The proposed methods exploit the joint sparse structure across all frequency bins, and estimate the spatial pseudo-spectra at various frequency bins jointly and iteratively.
This paper presents a study on the problem of designing non-fragile H∞ filters with sparse structure for linear discrete-time systems.
We show that proximate factors consisting of 5-10% of the cross-sectional observations with the largest exposure are usually sufficient to almost perfectly replicate the population factors, even if these do not have a sparse structure.
His primary area of research is Machine Learning and High-dimensional Standstiss, and is especially interested in understanding and exploiting the intrinsic structure in data (eg. manifold or sparse structure) to design effective learning algorithms in the big data regime.
