  This paper proposes an improved variable step-size (VSS) scheme for
zero-point attracting projection (ZAP) algorithm. The proposed VSS is
proportional to the sparseness difference between filter coefficients and the
true impulse response. Meanwhile, it works for both sparse and non-sparse
system identification, and simulation results demonstrate that the proposed
algorithm could provide both faster convergence rate and better tracking
ability than previous ones.
