These methods range from traditional interpolation approaches to advanced deep learning algorithms. One of these methods is the Frequency Domain Methods like the Fourier Transform that allows the ...

Recommended option is to set --interpolation_type=cubic as this provides smooth interpolation in contrast to linear interpolation. For models like RoBERTa that use special tokens in the first few ...

Therefore, this paper proposes a multi-scale edge detection network based on spatial-frequency domain interactive attention, aiming to achieve accurate detection of the edge of the main target on ...

Here, we demonstrate the multi-frequency interpolation X-talk removal algorithm (MuFIX or μFIX) for recovering crosstalk-contaminated photometry responses recorded with lock-in amplification. μFIX ...

Suppose I have a vector-valued function f(x) = y, where x and y are both vectors of some length (same or different length). f could be evaluated over a regular grid of x values, producing a set of y ...

Frequency issues can be a problem for brands when it comes to too much exposure with regard to their advertising messaging -- and consumers can tire of that exposure.

The inverse Fourier transform (inverse FFT or iFFT) reverses the operation of the Fourier transform and derives a time-domain representation from a frequency-domain dataset. In early 2024, EE World ...

This paper examines the overall performance of two interpolation techniques, spatial and frequency area interpolation, for photo exquisite-decision. Those strategies are evaluated by evaluating the ...