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In this paper, we present two layered multiuser detectors (MUDs) for MIMO frequency-time-domain (FT-domain) spread multi-carrier (MC) direct sequence code division multiple access (DS-CDMA) systems. We assume the users are organized into groups, and each user is assigned a unique Time-domain (T-domain) signature code. Moreover, the same group''s users share a unique F-domain signature code. However,...
Sparsity-based models have been widely applied to hyperspectral image (HSI) classification. The class label of the test sample is determined by the minimum residual error based on the sparse vector, which is viewed as a pattern of original sample in the sparsity-based model. From the aspect of pattern classification, similar samples in the same class should have similar patterns. However, due to the...
This paper analyzes the classification of hyperspectral images with the sparse representation algorithm in the presence of a minimal reconstruction error. Incorporating the contextual information into the sparse recovery process can improve the classification performance. However, previous sparse algorithms using contextual information only assume that all neighbors around a test sample make equal...
Reliability design of an aeroengine burner inner-liner is carried out using a bi-variant Lagrange factor polynomial approach. Thermal stress-dependent strength is represented by a discrete random variable that has different conditional probability mean functions under different thermal stress amplitudes. Then the LFP technique is developed to generate the stress-strength interference model with thermal...
In this research, a stress-strength interference model is developed based on bi-variant Lagrange factor polynomial approach. The first discrete random variable is the independent stress. Thermal stress-dependent strength is represented by the second discrete random variable that has different conditional probability mean functions depending on different stress amplitudes. Then the approach is used...
In this paper, we present a two-stage multiuser detection (MUD) scheme for near-real-time relay CDMA systems. Relay communications have received intensive research attention recently because of their benefit of spatial diversity. However, existing works generally have serious latency problems, which will reduce transmission rates. To solve the problems, we consider a near-real-time transmission strategy...
The structure of block sparsity in multi-band signals is prevalent. Performance of recovery algorithms that taking advantage of the block sparsity structure is promising in the compressed sensing framework. In this paper, we propose a binary tree based recovery algorithm for block-sparse signals, where we exploit the fact that each block may have zero and nonzero elements both. The proposed algorithm...
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