Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
The popularity of distributed file systems continues to grow in last years. The reasons they are preferred over traditional centralized systems include fault tolerance, availabili...
In order to control the process of data mining and focus on the things of interest to us, many kinds of constraints have been added into the algorithms of data mining. However, di...
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
— As evidenced by measurement data, channel fading and co-channel interference occur on the same time scales, and it is therefore difficult to determine if packet losses are due...