EURASIP Journal on Wireless Communications and Networking

Table 1 Simulation parameters of (N)LMS-based algorithms

From: Improved least mean square algorithm with application to adaptive sparse channel estimation

	μ	γ _ZA(N)	γ _RZA(N)	γ _LP(N)	γ _{L 0(N)}
LMS-based	0.05	$0.02 σ_{n}^{2}$	$0.05 σ_{n}^{2}$	$0.005 σ_{n}^{2}$	$0.02 σ_{n}^{2}$
NLMS-based	0.1	$0.002 σ_{n}^{2}$	$0.005 σ_{n}^{2}$	$0.0005 σ_{n}^{2}$	$0.002 σ_{n}^{2}$

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