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Table 1 Simulation parameters

From: RZA-NLMF algorithm-based adaptive sparse sensing for realizing compressive sensing

Parameters

Values

Signal length

N = 40

Measurement length

M = 20

Sensing matrix

Random Gaussian distribution

Number of nonzero coefficients

K ∈ {2, 6, 10}

Distribution of nonzero coefficients

Random Gaussian

Signal-to-noise ratio (SNR)

(0 dB, 12 dB)

Initial step size: μiss

1.5

Regularization parameter: λ

5 × 10-8

Reweighted factor: ϵ

2,000