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The common thread between these three architectures is their implementation in frequency domain.
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We also recount what this experience has taught us about the differences between these two architectures.
When predicting the risk of morbidity in the ICU these two architectures allow a good compromise between ANN capacity in describing training data and generalization power.
However, these two architectures share a common component.
The order of the other three genetic architectures for final level of G ¯ was not consistent across estimation methods, but differences between these three genetic architectures were generally small.
A result comparison between the two architectures will be presented.
The difference between the two architectures is the complexity of change management and ease of integration.
The comparison between the two architectures is depicted in Table 5.
However, there is an obvious gap between these two localization architectures.
In this paper, we have identified similarities between the despreader unit in Rake receiver, the FFT-SDF (Fast Fourier Transform-Single path Delay Feedback) and the Cordic (Coordinate Rotation Digital Computer) algorithm to propose a generic architecture shared between these three widely used algorithms (architectural synthesis based on common operators technique).
The interfaces between the all three architecture components are defined.
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CEO of Professional Science Editing for Scientists @ prosciediting.com