Table 2.

Mean validation NMSE for different hyperparameter combinations from Table 1. Varied parameters are highlighted. The number of model parameters is shown in millions, the computational complexity as 109 multiply-accumulate operations (GMACs).

ID D S L L b F F b C b C TCN K Params Complexity Mean NMSE
1 4 3 32 8 256 128 64 256 257 1.07 M 0.69 GMACs −14.56 dB
2 6 3 32 8 256 128 64 256 257 1.39 M 1.03 GMACs −15.32 dB
3 8 3 32 8 256 128 64 256 257 1.70 M 1.36 GMACs −14.73 dB
4 6 2 32 8 256 128 64 256 257 1.07 M 0.69 GMACs −14.53 dB
5 6 4 32 8 256 128 64 256 257 1.70 M 1.36 GMACs −15.13 dB
6 6 3 64 8 256 128 64 256 257 1.39 M 1.05 GMACs −15.32 dB
7 6 3 32 8 128 128 64 256 257 1.30 M 1.01 GMACs −14.72 dB
8 6 3 32 8 512 128 64 256 257 1.55 M 1.05 GMACs −15.01 dB
9 6 3 32 4 256 128 64 256 257 1.25 M 0.52 GMACs −14.64 dB
10 6 3 32 16 256 128 64 256 257 1.65 M 1.63 GMACs −14.95 dB
11 6 3 32 8 256 64 64 256 257 1.24 M 0.52 GMACs −14.41 dB
12 6 3 32 8 256 256 64 256 257 1.68 M 2.03 GMACs −15.16 dB
13 6 3 32 8 256 128 32 256 257 0.94 M 0.57 GMACs −14.14 dB
14 6 3 32 8 256 128 128 256 257 1.94 M 2.27 GMACs −15.09 dB
15 6 3 32 8 256 128 64 128 257 0.91 M 0.53 GMACs −15.05 dB
16 6 3 32 8 256 128 64 512 257 2.34 M 2.02 GMACs 15.59 dB
17 6 3 32 8 256 128 64 256 129 1.25 M 1.02 GMACs −15.11 dB

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