Abstract: This article proposes a framework based on the 2D-Fourier–Bessel decomposition method (2D-FBDM) and improved feature space for the automatic diagnosis of benign and malignant masses in ...
This work provides a comprehensive derivation of the Fourier transform, with less emphasis on the mathematical rigor associated with the theory. Instead, its primary goal is to serve as a didactic ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Infrared (IR) spectroscopy is a powerful method for mapping chemical heterogeneity on ...
Convolution is used in a variety of signal-processing applications, including time-domain-waveform filtering. In a recent series on the inverse fast Fourier transform (FFT), we concluded with a ...
TAIPEI, Taiwan--(BUSINESS WIRE)--Governments worldwide are ramping up investments in robotics R&D as labor shortages and rising costs persist. TrendForce reports that China, Japan, the US, South Korea ...
We show that passing input points through a simple Fourier feature mapping enables a multilayer perceptron (MLP) to learn high-frequency functions in low-dimensional problem domains. These results ...
Corporate tax departments face a constant stream of challenges: regulatory uncertainty, mounting data demands, new tax policy changes, ongoing digital transformation. Whatever the specifics, every tax ...
The sampling process of a signal is of an ideal type as it extends from −∞ to +∞ on the time axis, hence the infinite number of instants t n. This destroys the possibility of using an electronic ...
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