Quantum Hermite transform is a new quantum algorithm that could improve AI, simulations, and future quantum computing ...

Positive definite matrices are widely used in machine learning and probabilistic modeling, especially in applications related to graph analysis and Gaussian models. It is not uncommon that positive ...

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Quantum computing (QC) has advantages of speed and storage over classical computing, but it is based on a linear paradigm. However, many problems of interest are nonlinear. A viable QC algorithm ...

Microseismic noise suppression is widely used in the exploration of unconventional oil and gas resources. The effective microseismic downhole signals have extremely weak energy and are contaminated by ...

This crate aims to provide easy to use 2D spectral transforms for images, such as Fourier (FFT) and cosine (DCT) transforms. By default, only the Fourier transforms are availables. The cosine ...

Psychophysical methods are a cornerstone of psychology, cognitive science, and neuroscience where they have been used to quantify behavior and its neural correlates for a vast range of mental ...

To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D ...