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where s[i], x[i], and ν[i] denote, respectively, the vector of source signals, size n×1, observed signal size m×1, and noise signal size m×1.
The electronic noise signals (size <3) were filtered.
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Firstly, signal size can be reduced.
In a greater range, the signal size is still unchangeable.
a average SNR vs signal size; b average Hamming error vs signal size; c average number of missing nonzero coefficients vs signal size; and d average number of misidentified nonzero coefficients vs signal size.
In most cases, the number of variations is less than 10%% of the signal size.
Optimally, the resynthesized signal should be identical to the target signal while the source signal size and the conversion parameters size added together would be much smaller than the target signal size.
The total size of the transmitted parameters is much smaller than the target signal size and together with the source signal size it is close to the size of the 64-kbps MP3 version of the signal.
The main research goals are optimizing the signal size after irradiations, reducing the inactive sensor edges, adjusting the readout electronics to the radiation induced decrease of the signal sizes, and reducing the production costs.
The embedding capacity is closely related to the quantization step Δ, the signal size L, and the utilized coding technique.
However, the drawback of this method is the limitation of induced echo signal size which restrict its related application domains.
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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