155 research outputs found

    Electric polarizability of nuclei from a longitudinal sum rule

    Get PDF
    The nuclear electric polarizability is theoretically analyzed using a sum rule derived from the longitudinal part of the forward Compton amplitude. Beyond the leading dipole contribution, this approach leads to the presence of potential-dependent terms that do not show up in previous analyses. The significance of these new contributions is illustrated by performing an explicit calculation for a proton-neutron system interacting via a separable potential.Comment: 9 pages, revtex. Minor changes, two references added. To appear in Nucl. Phys.

    RE: CBI Panel Industry Trends

    No full text

    Performance comparison among neural decision feedback equalizers

    No full text
    Neural networks add flexibility to the design of equalizers for digital communications. In this work novel decisionfeedback (DF) neural equalizers (DFNE) are introduced and compared with classical DF equalizers and Viterbi demodulators. It is shown that the choice of a cost functional based on the Discriminative Learning (DL), coupled with a fast training paradigm, can provide neural equalizers that outperform the standard DF equalizer (DFE) at practical signal to noise ratio (SNR). Resulting architectures are competitive with the Viterbi solution from costperformance aspects. 1
    corecore