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 ...
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 ...
The AUV (Autonomous Underwater Vehicle) navigation process relies on the interaction of a variety of sensors. The side-scan sonar can collect underwater images and obtain semantic underwater ...
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 ...
SCTE-35 Parser. SCTE-35 Decoder. SCTE-35 Encoder. MPEGTS SCTE-35 Packet Injection. HLS Manifest and Segment SCTE-35 Parser. HLS SCTE-35 Injection. SCTE-35 Xml and Xml+bin Decoder/ Encoder for DASH.
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