  We derive asymptotic normality of kernel type deconvolution density
estimators. In particular we consider deconvolution problems where the known
component of the convolution has a symmetric lambda-stable distribution,
0<lambda<= 2. It turns out that the limit behavior changes if the exponent
parameter lambda passes the value one, the case of Cauchy deconvolution.
