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However, by assessing a sparse target scene, the homogeneous background influences the SSIM.
CSR was considered to transmit a sufficiently incoherent pulse and reconstruct the sparse target scene by the greedy algorithm.
The first appears due to the convolution of the transmitted waveform with the sparse target scene, spreading the energy of each target in the scene.
To verify the effectiveness of the transmit waveform and sensing matrix optimization in random filtering structure-based CSR system, we assume that a sparse target scene has L=25 range and M=25 Doppler bins.
Furthermore, Experiment 1b confirms that the search path followed in Experiment 1a was not a result of the relatively densely packed targets but holds over much more sparse target densities.
Motivated by the robust principal component analysis, infrared small target image is regarded as low-rank background matrix corrupted by sparse target and noise matrices, thus a new target-background separation model is designed, subsequently, an adaptive detection method of infrared small target is presented.
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In low-prevalence search tasks, the sparse targets result in few opportunities for feedback about misses.
In both cases, CSR can work in the situation of sparse targets/scene.
This feature leads to a question of: "what is the most efficient statistical strategy to optimize a random search?" It is shown that for sparse targets (i.e low target density), the efficiency, defined as number of targets (e.g. preys, foods) found divided by the traveled distance, is maximized when the flight lengths follows an inverse power law distribution with a heavy tail: a Lévy walk [2].
However, it remains to be determined whether the parasites rely on another type of random motion – such as the Lévy walk, which is better suited to finding sparse targets (Viswanathan et al., 1999) – or whether they are directed to blood vessels by chemical or physical cues.
After filtering out the genes having small variations and no interactions with others, and the microRNAs having sparse binding targets, we finally arrived at 1977 genes and 489 microRNAs.
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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