Estimation of embedding vectors in high dimensions

no code implementations • 12 Dec 2023 • Golara Ahmadi Azar, Melika Emami, Alyson Fletcher, Sundeep Rangan

To study this problem, we consider a simple probability model for discrete data where there is some "true" but unknown embedding where the correlation of random variables is related to the similarity of the embeddings.

A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning

no code implementations • 23 Sep 2023 • Golara Ahmadi Azar, Qin Hu, Melika Emami, Alyson Fletcher, Sundeep Rangan, S. Farokh Atashzar

Hand gesture recognition (HGR) has gained significant attention due to the increasing use of AI-powered human-computer interfaces that can interpret the deep spatiotemporal dynamics of biosignals from the peripheral nervous system, such as surface electromyography (sEMG).

Hand Gesture Recognition Hand-Gesture Recognition +1

Denoising based Vector Approximate Message Passing

1 code implementation • 4 Nov 2016 • Philip Schniter, Sundeep Rangan, Alyson Fletcher

The denoising-based approximate message passing (D-AMP) methodology, recently proposed by Metzler, Maleki, and Baraniuk, allows one to plug in sophisticated denoisers like BM3D into the AMP algorithm to achieve state-of-the-art compressive image recovery.

Information Theory Information Theory