Research Article
Multisource DOA Estimation in Impulsive Noise Environments Using Convolutional Neural Networks
Table 6
DOA3 subnetwork architecture.
| Layer and activation | Output shape | Parameter |
| L0: | Input | 8×8 | 0 | L1: | Convolution + Relu | 80 × 8 × 8 | 800 | L2: | Convolution + Relu | 80 × 8 × 8 | 57680 | L3: | Convolution + Relu | 48 × 8 × 8 | 34608 | L4: | Convolution + Relu | 48 × 8 × 8 | 20784 | L5: | Convolution + Relu | 16 × 8 × 8 | 6928 | L6: | Flatten | 1024 | 0 | L7: | Dense + Relu | 12 | 12300 | L8: | Dense + Relu | 3 | 39 |
|
|