D Paul, A Aue - Journal of Statistical Planning and Inference, 2014 - Elsevier
We give an overview of random matrix theory (RMT) with the objective of highlighting the results and concepts that have a growing impact in the formulation and inference of …
This book is an invitation to the world of free probability theory. Free probability is a quite young mathematical theory with many avatars. It owes its existence to the visions of one …
Z Ding, F Adachi, HV Poor - IEEE transactions on wireless …, 2015 - ieeexplore.ieee.org
This paper considers the application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems. A new design of precoding and detection …
N Habib, Y Li, M Heidenreich, L Swiech… - Science, 2016 - science.org
Single-cell RNA sequencing (RNA-Seq) provides rich information about cell types and states. However, it is difficult to capture rare dynamic processes, such as adult …
In their preface, the authors state that 'this is a book for absolute beginners'. Well, that depends on the definition of a beginner! Here,(s) he should be thoroughly at home in …
Background As a recently discovered member of the DPANN superphylum, Woesearchaeota account for a wide diversity of 16S rRNA gene sequences, but their …
This concise and self-contained introduction builds up the spectral theory of graphs from scratch, with linear algebra and the theory of polynomials developed in the later parts. The …
Random Matrix Theory (RMT) is applied to analyze the weight matrices of Deep Neural Networks (DNNs), including both production quality, pre-trained models such as AlexNet …
Free Probability Theory studies a special class of'noncommutative'random variables, which appear in the context of operators on Hilbert spaces and in one of the large random …