In this paper, by using surface fitting methods, analytical approaches for amplitudes and frequencies of the x1,2(t) "States" in a simple dynamical neural network called "Cellular Neural Network with Opposite Sign Templates" which was proposed by Zou and Nossek [1], are obtained under oscillation conditions. The mentioned explicit expressions are employed in a cellular neural network based, amplitude and frequency tuneable oscillator design.
This paper presents the effects of channel estimation errors on the performance, especially diversity gain, of space-time coded systems with antenna selection. We consider maximum signal to noise ratio as the antenna selection criteria. Specifically, we first present the effect on the upper bound for pairwise error probability of space-time coded systems with antenna selection over flat fading channels. Moreover, we provide simulation results for the antenna selection at the receiver and/or transmitter to show the effect of channel estimation.