Correlation and Covariance Matrices of a Complex Random Vector
We introduce in this chapter the correlation and covariance matrices of a complex random vector. The Hermitian nature of these matrices allows their diagonalization in the basis of their orthogonal eigenvectors. These concepts are discussed on jointly Gaussian variables. We study the principal component analysis of a vector of observations and the optimum Karhunen-Loève development.