A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...
ConvolutionInterpolations.jl uses a new family of high-order convolution kernels to provide a single unified interface for interpolation, differentiation, integration and smoothing - from ...
Super-resolution is an important technique in image processing. It overcomes some hardware limitations failing to get high-resolution image. After machine learning gets involved, the super-resolution ...
Abstract: Interpretability often seeks domain-specific facts, which is understandable to human, from deep-learning (DL) or other machine-learning (ML) models of black-box nature. This is particularly ...
In many applications, resampling an already digitized signal is mandatory for an efficient system design. In wireless communications, sample rate conversion is typically utilized for upconversion and ...
Because CARS efficiency is expected to be proportional to the intensity of the excitation laser pulses, the generated signal can in principle be increased (and the required sample size decreased) by ...
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