signalsens
Signalsens is a term used in signal processing and sensor systems to describe a coherent approach to acquiring, conditioning, analyzing, and interpreting signals from physical sensors. It encompasses concepts such as multi-sensor data fusion, real-time processing, and robust interpretation in the presence of noise and resource constraints. Rather than a single product, signalsens refers to a family of methods and architectures that can be implemented on edge devices, gateways, or cloud platforms.
Core components typically include sensor interfaces, signal conditioning and digitization, feature extraction, data fusion, inference, and
An proposed architecture often layers hardware and drivers, a digital signal processing and feature extraction module,
Applications span industrial automation and predictive maintenance, robotics and autonomous systems, automotive sensing and advanced driver
Development and standards: Signalsens is discussed in academic and industry contexts as a conceptual framework rather
See also: Sensor fusion, signal processing, edge computing, Internet of Things.