3,543 research outputs found

    Optimal Transmit Covariance for Ergodic MIMO Channels

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    In this paper we consider the computation of channel capacity for ergodic multiple-input multiple-output channels with additive white Gaussian noise. Two scenarios are considered. Firstly, a time-varying channel is considered in which both the transmitter and the receiver have knowledge of the channel realization. The optimal transmission strategy is water-filling over space and time. It is shown that this may be achieved in a causal, indeed instantaneous fashion. In the second scenario, only the receiver has perfect knowledge of the channel realization, while the transmitter has knowledge of the channel gain probability law. In this case we determine an optimality condition on the input covariance for ergodic Gaussian vector channels with arbitrary channel distribution under the condition that the channel gains are independent of the transmit signal. Using this optimality condition, we find an iterative algorithm for numerical computation of optimal input covariance matrices. Applications to correlated Rayleigh and Ricean channels are given.Comment: 22 pages, 14 figures, Submitted to IEEE Transactions on Information Theor

    TANF in rural America: informing re-authorization

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    In 1996 welfare reform ushered in a new era in which cash assistance for poor parents became both temporary and conditional on activities to promote economic independence through work. Cash assistance from TANF relieves, but does not eliminate, poverty because benefit levels are far too low to lift families above the poverty threshold. These ameliorative effects are weaker in rural than urban areas. Over time, the positive impacts of TANF receipt have continued to decline. The authors assert that the necessity of re-authorizing TANF gives us an opportunity to reflect on its strengths and limitations

    Lattices of hydrodynamically interacting flapping swimmers

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    Fish schools and bird flocks exhibit complex collective dynamics whose self-organization principles are largely unknown. The influence of hydrodynamics on such collectives has been relatively unexplored theoretically, in part due to the difficulty in modeling the temporally long-lived hydrodynamic interactions between many dynamic bodies. We address this through a novel discrete-time dynamical system (iterated map) that describes the hydrodynamic interactions between flapping swimmers arranged in one- and two-dimensional lattice formations. Our 1D results exhibit good agreement with previously published experimental data, in particular predicting the bistability of schooling states and new instabilities that can be probed in experimental settings. For 2D lattices, we determine the formations for which swimmers optimally benefit from hydrodynamic interactions. We thus obtain the following hierarchy: while a side-by-side single-row "phalanx" formation offers a small improvement over a solitary swimmer, 1D in-line and 2D rectangular lattice formations exhibit substantial improvements, with the 2D diamond lattice offering the largest hydrodynamic benefit. Generally, our self-consistent modeling framework may be broadly applicable to active systems in which the collective dynamics is primarily driven by a fluid-mediated memory

    The Inductive Single-Electron Transistor (L-SET)

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    We demonstrate a sensitive method of charge detection based on radio-frequency readout of the Josephson inductance of a superconducting single-electron transistor. Charge sensitivity 1.4×104e/Hz1.4 \times 10^{-4}e/\sqrt{Hz}, limited by preamplifier, is achieved in an operation mode which takes advantage of the nonlinearity of the Josephson potential. Owing to reactive readout, our setup has more than two orders of magnitude lower dissipation than the existing method of radio-frequency electrometry. With an optimized sample, we expect uncoupled energy sensitivity below \hbar in the same experimental scheme.Comment: 10 page

    Charge sensitivity of the Inductive Single-Electron Transistor

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    We calculate the charge sensitivity of a recently demonstrated device where the Josephson inductance of a single Cooper-pair transistor is measured. We find that the intrinsic limit to detector performance is set by oscillator quantum noise. Sensitivity better than 10610^{-6}e/Hz/\sqrt{\mathrm{Hz}} is possible with a high QQ-value 103\sim 10^3, or using a SQUID amplifier. The model is compared to experiment, where charge sensitivity 3×1053 \times 10^{-5}e/Hz/\sqrt{\mathrm{Hz}} and bandwidth 100 MHz are achieved.Comment: 3 page
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