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 ...

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 ...

Traditionally radio frequency (RF) and microwave have dominated the area of wireless communication. To meet the growing need for faster data transfer rates, RF systems employ increasingly complex ...

Although previous studies conducted on the segmentation of hemorrhage images were based on the U-Net model, which comprises an encoder-decoder architecture, these models exhibit low parameter passing ...

Introduction: The accurate cerebral cortex surface reconstruction is crucial for the study of neurodegenerative diseases. Existing voxelwise segmentation-based approaches like FreeSurfer and ...

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 ...

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.