Digital Signal Processing Reference
In-Depth Information
Fig. 2.
Energy time evolution figure of WCSANN
Fig. 3.
Energy time evolution figure of NNTCTG
The time evolution figures of the energy function of WCSANN and NNTCTG in
solving TSP are respectively given in Fig.2 and Fig.3 when β =0.008.
By comparison, it is concluded that WCSANN is superior to NNTCTG model.
From the Fig.2, Fig.3, one can see that the velocity of convergence of WCSANN is
much faster than that of NNTCTG in solving TSP.
The superiority of WCSANN contributes to several factors: First, because of the
quality of Morlet wavelet function, the activation function of WCSANN has a further
performance in solving combinatorial optimization problems than NNTCTG . Second,
it is easier to produce chaotic phenomenon [8] in that the activation function is non-
monotonic. Third, η is varied with time, which denotes steepness parameter of
WCSANN.
3
WCSANN-Based Multiuser Detector in CDMA System
Let us assume that K users are transmitting (2M+1) symbol long packets on the same
channel in CDMA system. Applying the complex baseband equivalent model, the
transmitted signal of the kth user can be written in the following form:
