IEEE

Photonic Compressive Sensing System Based on 1-Bit Quantization for Broadband Signal Sampling

Abstract: Photonic compressive sensing (PCS), a paradigm for broadband sparse radio frequency (RF) signal acquisition, is recognized for its ability to significantly reduce sampling rate. However, ...
JSTOR Daily

Reconstruction Algorithms in Irregular Sampling

This is a preview. Log in through your library . Abstract A constructive solution of the irregular sampling problem for band-limited functions is given. We show how a band-limited function can be ...
Investopedia

Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
GitHub

The N-way Toolbox for MATLAB

The N-way Toolbox for MATLAB is a freely available collection of functions and algorithms for modelling multiway data sets by a range of multilinear models. Several types of models are covered; ...
IEEE

Research on Compression Algorithms for Time Series Prediction Models in Source Measure Units Based on Pruning, Quantization, and Knowledge Distillation

Abstract: The BA-Informer algorithm is a specialized timeseries forecasting model designed to enhance measurement efficiency in source measure unit (SMU). Although it achieves high prediction accuracy ...
GitHub

Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices

@inproceedings{chen2024mixed, title={Mixed-precision quantization for federated learning on resource-constrained heterogeneous devices}, author={Chen, Huancheng and Vikalo, Haris}, ...