  We propose tests for the null hypothesis that the law of a complex-valued
random vector is circularly symmetric. The test criteria are formulated as
$L^2$-type criteria based on empirical characteristic functions, and they are
convenient from the computational point of view. Asymptotic as well as
Monte-Carlo results are presented. Applications on real data are also reported.
An R package called CircSymTest is available from the authors.
