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• W2088400047 abstract "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." @default.
• W2088400047 created "2016-06-24" @default.
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• W2088400047 date "2000-07-21" @default.
• W2088400047 modified "2023-09-23" @default.
• W2088400047 title "<title>Seismic and acoustic signal identification algorithms</title>" @default.
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• W2088400047 doi "https://doi.org/10.1117/12.392574" @default.
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