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Correlation Analysis of Complex Random Variables

  • Sergey Svetunkov,
  • Ivan Svetunkov

摘要

Chapter 3 delves into correlation analysis using complex random variables. It discusses how to visualize and compute correlations between complex-valued data, a process complicated by the multidimensional nature of such variables. The chapter emphasizes different types of correlation coefficients: conjugate, direct, and Pearson’s - and how these relate to complex data analysis. It also introduces the complex correlation matrix, enhancing understanding of inter-variable relationships in complex-valued data sets.