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John Zweck

Researcher at University of Texas at Dallas

Publications -  88
Citations -  1469

John Zweck is an academic researcher from University of Texas at Dallas. The author has contributed to research in topics: Polarization mode dispersion & Monte Carlo method. The author has an hindex of 14, co-authored 83 publications receiving 1342 citations. Previous affiliations of John Zweck include Rice University & University of Nevada, Reno.

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Optimization of the split-step Fourier method in modeling optical-fiber communications systems

TL;DR: In this paper, the efficiency of different implementations of the split-step Fourier method for solving the nonlinear Schro/spl uml/dinger equation that employ different step-size selection criteria was compared.
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Theoretical Analysis of a Quartz-Enhanced Photoacoustic Spectroscopy Sensor

TL;DR: In this paper, a theoretical model of a QEPAS sensor with a particular 328 kHz tuning fork is presented and the optimal position of the laser beam with respect to the tuning fork and the phase of the piezo-electric current in terms of optical, mechanical, and electrical parameters of the system is calculated.
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Euclidean Group Invariant Computation of Stochastic Completion Fields Using Shiftable-Twistable Functions

TL;DR: A method for computing the likelihood that a completion joining two contour fragments passes through any given position and orientation in the image plane by representing the input, output, and intermediate states of the computation in a basis of shiftable-twistable functions.
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The de Rham-Federer theory of differential characters and character duality

TL;DR: The theory of differential characters was developed completely from a de Rham-Federer viewpoint in this article, where characters are defined as equivalence classes of special currents, called sparks, which appear naturally in the theory of singular connections.
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Evaluation of the very low BER of FEC codes using dual adaptive importance sampling

TL;DR: This work evaluates the error-correcting performance of a low-density parity-check (LDPC) code in an AWGN channel using a novel dual adaptive importance sampling (DAIS) technique based on multicanonical Monte Carlo (MMC) simulations, that allows us to calculate bit error rates as low as 10/sup -19/ for a (96,50) LDPC code without a priori knowledge of how to bias.