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In this paper we present an approximation of the fully two-dimensional DPA (2D-DPA) with polynomial complexity.
In this paper, we present an approximation of elliptic problems with multiscale and high-contrast diffusion coefficients.
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The purpose of this work is to present an approximation for singular integrals of Cauchy type kernel on a smooth-oriented contour.
Using disasters as natural experiments in PNMS research presents an approximation of the randomization afforded by laboratory animal studies, and capitalizes on the relatively large potential subject pool following a disaster to a large community.
We have presented an approximation to determine the number of neighbor nodes for each sensor node obtained from the average number of neighbor nodes involved in the routing algorithm toward the gateway.
This work presents an approximation algorithm for scheduling the tasks of a parallel application.
Tiwari et al. [10] extend Huang et al.'s method to consider different transmission ranges and dimensions, i.e., 2D and 3D, and presented an approximation algorithm with a constant ratio of (2left lceil frac {4}{3}(epsilon +1)^{2} gamma ^{2} +frac {8 gamma (epsilon +1)}{3} + frac {4}{3} right rceil ) for the 2D space, where γ is the ratio between the maximum and minimum transmission range.
The GFDAF algorithm was presented as an approximation of the block RLS algorithm with exponential windowing, such that the microphone signal block length can be chosen independently from the modeled impulse response length, as it is also possible for other adaptive filtering approaches.
In this paper, we present a new approximation of the APPs of trellis-coded symbols, which is less complex and requires less memory than alternatives from literature.
The contributions of the paper are as follows: (i) We present a new approximation of the error probability of the max-d min precoder, in the presence of Cauchy noise.
We present a new approximation of the error probability of the max-d min precoder, in the presence of Cauchy noise.
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