Research Article
Semi-supervised Learning for Automatic Modulation Recognition Using Haar Time–Frequency Mask and Positional–Spatial Attention
| Network | FLOPs | Parameters | Memory |
| SVM [47] | — | 54.2 K | 1.5 M | RF [48] | — | 63.7 K | 3.5 M | SSRCNN [19] | 390 K | 52.8 K | 227.7 K | EDCT [31] | 9 M | 291 K | 1.2 M | SimAMC [33] | 25 M | 620 K | 2.5 M | CNN5 | 2.5 G | 1.66 M | 6.7 M | CNN5 + spatial | 2.5 G | 1.66 M | 6.7 M | SE [40] | 2.5 G | 1.77 M | 7.1 M | Fca [41] | 2.5 G | 1.85 M | 11.2 M | CBAM [42] | 2.5 G | 1.77 M | 7.1 M | CNN5 + positional | 2.53 G | 1.82 M | 7.4 M | HTF-PSA-SSL | 2.53 G | 1.82 M | 7.4 M |
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Note. Bold values indicate the highest value of FLOPs, Paramters and Memory.
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