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To demonstrate very succinctly the idea of localization using modes, we introduce the simplest model of oceanic waveguide the perfect waveguide.
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For the dominant mode we introduced a binary variable, equal to 1 if at least one risk allele is present and 0 otherwise.
Hence, to address these issues and improve the operating mode diagnosis performance, we introduce the Conditional Random Field (CRF), which is a discriminiative probabilistic model based approach.
In this article, we introduce several mode selection criteria which are similar to the criteria of antenna grouping, and propose a low complexity mode selection criterion.
We introduce several mode selection criteria as well as a low complexity criterion which is derived from a low complexity antenna grouping algorithm.
Next, we introduce the mode vector a m (θ l ) (m = 1, 2,..., M), where θl is the angle of the l th wave.
In the proof of the Theorem 3.1, we introduce some mode-dependent Lyapunov function (38)–(43) in match period, and the exponential structure such as (e^{alpha_{1} ( {t - s} )}), not is (e^{-alpha_{1} ( {t - s} )}).
In this paper, we introduce a dual-mode power regulator for the PV emulation.
In Section 2, we introduce the previous mode multiplexing methods applied in the context of the LINC.
We introduce a Gaussian beam mode analysis with Effective Refractive Index Approximation (EIA) applied to planar waveguides.
Here, we introduce a novel combined mode of cellular demise – caspase-dependent regulated necrosis.
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