Capacity of a single spiking neuron channel
Neural Computation
Problems of Information Transmission
Channel capacity bounds in the presence of quantized channel state information
EURASIP Journal on Wireless Communications and Networking
Hi-index | 754.84 |
We consider a scalar additive channel x → x + N whose input is amplitude constrained. By extending Smith's (1969) argument, we derive a sufficient condition on noise probability density functions (pdf) that guarantee finite support for the associated capacity-achieving distribution(s).