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In this paper, the polar format algorithm (PFA) [14, 15] is utilized for the images generation.
Based on the principle of the polar format algorithm, the focus algorithm is generalized to form each subimage when the antenna beam scans at an arbitrary position.
The processed aperture is divided into many subapertures, the signal of which is processed by using the principle of the polar format algorithm (PFA) [1, 2].
In this paper, we present a detailed analysis on the performance degradation of inverse synthetic aperture radar (ISAR) imagery with the polar format algorithm (PFA) due to the inaccurate rotation center.
The subimage focus algorithm is generalized to process each subaperture data when the antenna beam scans at an arbitrary position, it is based on the principle of the Polar format algorithm (PFA).
Several useful ISAR imaging algorithms have been proposed in the literatures, such as the Range-Doppler algorithm (RDA) [2], the Keystone algorithm for precise de-coupling [3 6], and the polar format algorithm (PFA) [7 10].
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Let F be the 2D conventional image (reconstructed by the polar-format algorithm).
These kinds of approaches are based on post-processing of an image reconstructed conventionally, e.g., by the polar-format algorithm [5].
Once the user provides sequences in FASTA format, the algorithm calculates: Solubility profiles.
We would like to stress that selecting a right data format and algorithm could be critical to successful data mining.
Finally, SMILES is a proprietary format whose algorithms are kept under lock and key—with the notable exception of the OpenSMILES project".
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com