GitHub

Convolution in Digital Signal Processing

You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers the definition and computation of 1D and 2D convolution, as ...
Frontiers

3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal

Non-invasive brain-computer interfaces (BCI) hold great promise in the field of neurorehabilitation. They are easy to use and do not require surgery, particularly in the area of motor imagery ...
IEEE

Image Classification using Convolutional Neural Network

Abstract: Machine learning and deep learning techniques are used in image classification. The execution of a classification system is based on the quality of extracted image features. This paper deals ...
GitHub

Dual-Stage Approach Toward Hyperspectral Image Super-Resolution

Hyperspectral image produces high spectral resolution at the sacrifice of spatial resolution. Without reducing the spectral resolution, improving the resolution in the spatial domain is a very ...
ahajournals.org

Multiclass Arrhythmia Detection and Classification From Photoplethysmography Signals Using a Deep Convolutional Neural Network

Studies have reported the use of photoplethysmography signals to detect atrial fibrillation; however, the use of photoplethysmography signals in classifying multiclass arrhythmias has rarely been ...
archive

Lectures on Image Processing

remove-circle Internet Archive's in-browser video "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see your ...