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 ...

Abstract: Convolutional neural networks are built upon simple but useful convolution modules. The traditional convolution has a limitation on feature extraction and object localization due to its ...

When looking at the code you might realize there's a similarity to the autocorrelation / cross correlation demo app. :) Please be aware that you need Matlab and its Symbolic Math Toolbox (mainly for ...

Abstract: Partial convolution weights convolutions with binary masks and renormalizes on valid pixels. It was originally proposed for image inpainting task because a corrupted image processed by a ...

This example includes how to preprocess the data, how to use the deep learning toolbox of MATLAB to build and visualize the neural network, and how to output the characteristics of a certain layer of ...

Light-weight convolutional neural networks (CNNs) suffer performance degradation as their low computational budgets constrain both the depth (number of convolution layers) and width (number of ...

This series is excerpted from “Digital Signal Processing: Instant Access.” Order this book today and receive an additional 20% discount. Click here www.elsevierdirect.com and be sure to type in 92836.