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Detection and Feature Extraction in Acoustic Sensor Signals
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Acoustic sensors have an extremely wide range of applications in many fields, including underwater acoustics, architectural acoustics, engineering acoustics, physical acoustics, environmental acoustics, psychoacoustics, and so on. The signals collected by high-sensitivity acoustic sensors contain a large amount of valid information that facilitates further processing of the collected acoustic signals. In particular, detection and feature extraction, as two important measures of acoustic sensor signal processing, can capture more information regarding the target and extract features with separability.
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Keywords
- acoustic pressure field
- acoustic ranging
- acoustic thermometry
- adaptive parameter
- bearing fault detection
- bearing signals
- cost-reference particle filter
- deconvolved beamforming
- delay estimation
- diagnosis of compound faults
- digital lock-in filtering
- direction of arrival estimation
- electrical conduit
- environmental noise
- fault diagnosis
- feature extraction
- fractional Fourier transform
- Gaussian mutation
- GCC-PHAT-ργ weighting
- generalized cross-correlation
- hierarchical slope entropy
- History of engineering & technology
- improved grey wolf algorithm
- intelligent resample
- Leaky LMS
- least mean squares
- linear frequency modulation signal
- low-noise surfaces
- Markov transition field
- metro traction motor bearings
- multi-population cooperation
- multilayer elastic bottom
- multisignal fusion
- multistable stochastic resonance
- n/a
- neural networks
- noise emission
- noise modeling
- optimized deep residual network
- optimized support vector machine
- partial updates
- propagation distance
- road traffic noise
- Scholte wave detection
- singular value decomposition
- Sound
- sound pass-by
- source depth
- SPB method
- state estimation
- structural active noise control
- target recognition
- Technology, engineering, agriculture
- Technology: general issues
- time-of-flight estimation
- traffic measurements
- unattended noise measurement procedure
- underwater acoustic signals
- unknown statistical characteristics of noise
- white shark optimizer
Links
DOI: 10.3390/books978-3-0365-9190-2Editions