Some Applications of RMT

  • Zhidong Bai
  • Jack W. Silverstein
Part of the Springer Series in Statistics book series (SSS)


In recent decades, data sets have become large in both size and dimension, and thus statisticians are confronted with large dimensional data analysis in both theoretical investigation and real applications. Consequently, RMT has found applications to modern statistics and many applied disciplines. As an illustration, we briefly mention some basic concepts and applications in wireless communications and statistical finance.


Orthogonal Frequency Division Multiplex Fading Channel Channel State Information MIMO Channel Ergodic Capacity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.School of Mathematics and Statistics KLAS MOE Northeast Normal UniversityChangchunChina
  2. 2.Department of Statistics and Applied ProbabilityNational University of SingaporeSingaporeSingapore
  3. 3.Department of MathematicsNorth Carolina State UniversityRaleighUS

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