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Showing 1 to 6 of 6 for “"Subspace Projection"”.

  1. Coding for random access in wireless networks

    … Specifically, we use random coding with a subspace projection based decoder to get finite blocklength bounds from which we arrive at the trade-off. Further we justify the use of our decoder by proving its asymptotic optimality for the channel under consideration. We also show that the …

    mit Repository record for Coding for random access in wireless networks (opens in a new tab)

  2. Weak interference direction of arrival estimation in the GPS frequency band

    … This algorithm first uses the decomposed signal subspace to construct its calibration cost function and then estimates the calibration parameters using alternating projection based methods iteratively. The GPS signals typically have a SNR range from -15dB to -30dB. If the INR of the weak GPS …

    adelaide Repository record for Weak interference direction of arrival estimation in the GPS frequency band (opens in a new tab)

  3. A multilevel method for meshless solution of the poisson equation in heat transfer and fluid flow

    … a preconditioner to the GMRES, which is a Krylov Subspace Projection (KSP) method. This rapid convergence of the all-Neumann equation is then applied to the pressure Poisson equation arising in the fractional step method, with explicit convection and explicit diffusion. We demonstrate fast …

    uiuc Repository record for A multilevel method for meshless solution of the poisson equation in heat transfer and fluid flow (opens in a new tab)

  4. Stochastic modeling in computational electromagnetics

    … order reduction technique based on the Krylov subspace projection. Numerical examples are used to demonstrate the attributes of the proposed stochastic macromodel to the solution of electromagnetic scattering problems by an ensemble of targets exhibiting uncertainty. Macromodeling is also …

    uiuc Repository record for Stochastic modeling in computational electromagnetics (opens in a new tab)

  5. Efficient IC statistical modeling and extraction using a Bayesian inference framework

    … this goal, we propose a technique named physical subspace projection to transfer a mixture of measurements into a unique probability space spanned by MVS parameters. We search over MVS parameter combinations to nd those with the maximum probability by extending the expectation-maximization (EM) …

    mit Repository record for Efficient IC statistical modeling and extraction using a Bayesian inference framework (opens in a new tab)

  6. Unique cluster expansion for reliable first-principles prediction of alloy thermodynamics and phase diagrams

    … obtained from known energies in a configuration subspace. Such ECI are biased by those ECI not in the truncated set, because when projected onto an arbitrarily selected subspace (by truncation), linear dependencies exist between cluster functions. The dependencies are overlooked in current …

    uiuc Repository record for Unique cluster expansion for reliable first-principles prediction of alloy thermodynamics and phase diagrams (opens in a new tab)