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Model Selection Via Multifold Cross Validation
In model selection, it is known that the simple leave one out cross validation method is apt to select overfitted models. In an attempt to remedy this problem, we consider two notions of multi-foldExpand
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A generalized QS-CDMA system and the design of new spreading codes
A generalized quasi-synchronous code-division multiple-access (QS-CDMA) system for digital mobile radio communications is proposed. In a QS-CDMA system, the relative time delay between the signals ofExpand
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Subspace method aided data-driven design of fault detection and isolation systems
This paper deals with data-driven design of fault detection and isolation (FDI) systems. The basic idea is to identify a primary form of residual generators, instead of the process model, directlyExpand
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On the Distributional Properties of Model Selection Criteria
Abstract It is commonly accepted that statistical modeling should follow the parsimony principle; namely, that simple models should be given priority whenever possible. But little quantitativeExpand
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On the application of PCA technique to fault diagnosis
In this paper, we briefly address the application of the standard principal component analysis (PCA) technique to fault detection and identification. Based on an analysis of the existing testExpand
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A Kaleidoscopic View of Graph Colorings
This book describes kaleidoscopic topics that have developed in the area of graph colorings. Unifying current material on graph coloring, this book describes current information on vertex and edgeExpand
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Inference after variable selection in linear regression models
SUMMARY We explore the impact of variable selection on statistical inferences in linear regression models. In particular, the generalized final prediction error criterion of Shibata (1984) isExpand
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Grassmannian precoding MU-MIMO scheme
In this article, a Grassmannian precoding multiuser multiple-input multiple-output (MU-MIMO) scheme for downlink transmission is proposed. The proposed MU-MIMO scheme will perform scheduling andExpand
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Spectrum sensing for cognitive radio networks with correlated multiple antennas
A weighted energy detector and correlated-generalised likelihood ratio test detector are proposed for spectrum sensing assisted with correlated multiple antennas in cognitive radio. Simulations areExpand
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Automatic Modulation Classification Using Contrastive Fully Convolutional Network
Automatic modulation classification (AMC) aims at identifying the modulation format of the received signal. In this letter, we propose a novel grid constellation matrix (GCM)-based AMC method using aExpand
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