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In this paper, we propose a non-parametric spectral approach inspired by the adaptive line enhancer (ALE) principle, which has the capability of detecting and enhancing an arbitrary large number of tones in additive noise of unknown characteristics.
Therefore, finding out the method for detecting and enhancing these oriented structure is also in great need.
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Consider Google's open-source DeepDream software, an artificial neural network that can be trained to recognize specific images, such as animal faces, then detect and enhance similar patterns in unrelated images.
Once it is trained, it can detect and enhance those patterns in a seed image, creating an Output that resembles the seed image but is clearly influenced by the Inputs.
The ultimate goal of the proposed algorithm is to detect and enhance these frames by using the polynomial regression, followed by the spectral subtraction.
Beamforming, which is a well-known approach to detect and enhance the desired signal while suppressing noise and interference with a sensor array, has been widely used in many applications [1, 2].
In general use, contrast agents are useful to detect and enhance differences in tissue vascularization, which is very helpful in the field of oncological imaging.
Current and future scientific challenges include developing strategies for climate adaptation, improving the capacity to detect change and enhancing the application of an ecosystem approach within lakes management.
As little as 5%% methylation differences can be detected and are enhanced by a novel MBD protocol for improved specificity.
Bacterial coinfections were also detected and likely enhanced the severity of the enteritis disease by triggering synergistic effects.
A high-density linkage map would increase the power to detect QTL and enhance the precision in the QTL analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com