Basic Characteristics and Learning Potential of a Digital Spiking Neuron
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
New upper bound for (m, k, λ)-IRSs with λ ≥ 2
IEEE Transactions on Information Theory
A novel hybrid spiking neuron: bifurcations, responses, and on-chip learning
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Hi-index | 754.90 |
We formulate a combinatorial model of impulse radio sequences (IRSs) to study sequence or signal design for ultra-wideband (UWB) radio with unmodulated time hopping. Using this combinatorial model for IRSs, we develop necessary and sufficient conditions for the existence of IRSs. Several novel constructions for IRSs with optimal correlation properties are given. The constructions involve the Welch construction for Costas arrays, a quadratic polynomial construction over finite fields, recursive techniques for optical orthogonal codes, and combinatorial design techniques using perfect Mendelsohn designs (PMDs).