  Let $\boldsymbol{\Sigma}_N$ be a $M \times N$ random matrix defined by
$\boldsymbol{\Sigma}_N = \mathbf{B}_N + \sigma \mathbf{W}_N$ where
$\mathbf{B}_N$ is a uniformly bounded deterministic matrix and where
$\mathbf{W}_N$ is an independent identically distributed complex Gaussian
matrix with zero mean and variance $\frac{1}{N}$ entries. The purpose of this
paper is to study the almost sure location of the eigenvalues
$\hat{\lambda}_{1,N} \geq ... \geq \hat{\lambda}_{M,N}$ of the Gram matrix
${\boldsymbol \Sigma}_N {\boldsymbol \Sigma}_N^*$ when $M$ and $N$ converge to
$+\infty$ such that the ratio $c_N = \frac{M}{N}$ converges towards a constant
$c > 0$. The results are used in order to derive, using an alernative approach,
known results concerning the behaviour of the largest eigenvalues of
${\boldsymbol \Sigma}_N {\boldsymbol \Sigma}_N^*$ when the rank of
$\mathbf{B}_N$ remains fixed when $M$ and $N$ converge to $+\infty$.
