Abstract
In this paper, we extend the linear delay filter, which is a technique for modeling sparse FIR systems, to a second-order Volterra delay filter to include the linear and quadratic filter coefficients for system modeling and identification. According to the error surface analysis, we propose two algorithms which are specially effective in modeling second-order Volterra systems with sparse system coefficients.
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