ADVANCED SIGNAL ANALYSIS SYSTEM
The ASAS is designed for today’s electronic battlefield of low power, wide bandwidth, and non-periodic RF signals. It is an I/Q signal analysis tool for integration with any digital receiver. The fundamental technology of ASAS is a machine learning classifier which uses adaptive feature extraction algorithms and traditional signal processing functions. At the core is our feature fusion framework which outperforms individually extracted features in non-periodic signal classification.
METHOD: Signal processing and feature extraction
KEYWORDS: signal processing, feature extraction, adaptive feature, deep learning
TECHNICAL SPECS: Dependent on customer requirements or applications
RESEARCH: Develop a signal classification approach based on adaptive feature extraction and deep learning