NW_Mission_2014_CAC_Rev3 1-23-14 submitted to R&A
Abstract not provided.
Publications
Quantification of Technology Innovation Using a Risk-Based Framework
Abstract not provided.
Vector-Based Metrics for Assessing Technology Maturity
Abstract not provided.
Applications of Neurosystems Engineering
Abstract not provided.
On the Practical Application of Technology Readiness Levels
Abstract not provided.
WSEAT Quarterly Highlights
Abstract not provided.
MEMS technologies for high-assurance applications
Abstract not provided.
Seismic and acoustic signal identification algorithms
Proceedings of SPIE - The International Society for Optical Engineering
This paper will describe an algorithm for detecting and classifying seismic and acoustic signals for unattended ground sensors. The algorithm must be computationally efficient and continuously process a data stream in order to establish whether or not a desired signal has changed state (turned-on or off). The paper will focus on describing a Fourier-based technique that compares the running power spectral density estimate of the data to a predetermined signature in order to determine if the desired signal has changed state. How to establish the signature and the detection thresholds will be discussed as well as the theoretical statistics of the algorithm for the Gaussian noise case with results from simulated data. Actual seismic data results will also be discussed along with techniques used to reduce false alarms due to the inherent nonstationary noise environments found with actual data.
8 Results