  In this Letter, we present a novel class of diffusion algorithms that can be
used to estimate the coefficients of sparse Volterra network (SVN). The
development of the algorithms is based on the logarithmic cost and l0-norm
constraint. Simulations for Gaussian and impulsive scenarios are conducted to
demonstrate the superior performance of the proposed algorithms as compared
with the existing algorithms.
