Single patch merges multiple physiological signals for simpler health monitoring

Wearable health monitors have grown increasingly capable, but most are still limited by the fact that tracking different ...
IEEE

Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back

Abstract: In this work we introduce a convolution operation over the tangent bundle of Riemann manifolds in terms of exponentials of the Connection Laplacian operator. We define tangent bundle filters ...
GitHub

A Real-time Implementation Of a Nested U-NET based Speech Enhancement

abstract: Speech enhancement is a technology that removes noise and enhances speech intelligibility and is used in many fields, such as voice recognition, video conferencing, etc. Recently, DNN-based ...
Frontiers

Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network

In terms of seizure prediction, how to fully mine relational data information among multiple channels of epileptic EEG? This is a scientific research subject worthy of further exploration. Recently, ...
Frontiers

Motor Imagery EEG Signal Recognition Using Deep Convolution Neural Network

Brain computer interaction (BCI) based on EEG can help patients with limb dyskinesia to carry out daily life and rehabilitation training. However, due to the low signal-to-noise ratio and large ...
EDN

Use LTspice to simulate mixed continuous and sampled systems

Did you know that you can use LTspice to do Digital Signal Processing (DSP)? Actually, I should say it is useful for validating the operation of a signal-processing algorithm under development. This ...
IEEE

Improved Teaching Pedagogy for Convolution of Continuous Time Signals

Abstract: Problem exists to effectively learn technical topics requiring sound mathematical practices. Especially in engineering domain, detailed mathematical illustrations sometimes robs the time of ...