Syndrome-based neural decoding is a promising approach for soft-decision decoding of short, high-rate codes, but the field is still wide open. Performance often lags behind classical decoders like OSD ...

Radar sensors have recently been explored in the industrial and consumer Internet of Things (IoT). However, such applications often require self-sustainable or untethered operations, which are at odds ...

Abstract: The dynamics of multivariate time series (MTS) data are jointly characterized by its nonlinear temporal dependencies and complex variable dependencies, making unsupervised time series ...

Providing security to Internet of Medical Things (IoMT) is significant worldwide problem for future generations its implementation to be successful. The traditional security methodologies developed ...

Abstract: Various artifacts, often accompanied during the acquisition of electroencephalograph (EEG), hinder further progress of EEG-based applications. However, hand-craft and semi-automatic-based ...

73, all hams and radio fans! Once again, Elektor presents a pronounced combination of embedded and radio technology in the form of the ATS25 max-Decoder — a powerful, ultra-compact multimode ...

Deep learning has been widely used in various fields and showed promise in recent years. Therefore, deep learning is the future trend to realize seismic data’s intelligent and automatic interpretation ...

Accurate detection and segmentation of the object fruit is the key part of orchard production measurement and automated picking. Affected by light, weather, and operating angle, it brings new ...

Technological advances in next-generation sequencing (NGS) and chromatographic assays [e.g., liquid chromatography mass spectrometry (LC-MS)] have made it possible to identify thousands of microbe and ...

* AKduino Part 3: Controlling a Dual Mono AK4493 DAC with an Si570 or Si544 as a clock generator and an * XMOS / AK4118 board as an I2S source. * Project Page: http ...