Читать книгу Artificial Intelligence and Quantum Computing for Advanced Wireless Networks - Savo G. Glisic - Страница 41

Example

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For the network shown in Figure 3.6, all connections are made by second‐order (three tap) FIRs. Although at first sight it looks as though we have only 10 connections in the network, in reality there are a total of 30 variable filter coefficients (not counting five bias weights). Starting at the output, each tap delay can be interpreted as a “virtual neuron,” whose input is delayed by the given number of time steps. A tap delay can be “removed” by replicating the previous layers of the network and delaying the input to the network as shown in Figure 3.6. The procedure is then carried on backward throughout each layer until all delays have been removed. The final unfolded structure is depicted in the bottom of Figure 3.6.

Artificial Intelligence and Quantum Computing for Advanced Wireless Networks

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