Sun et al., 2021 - Google Patents
A generalized minimax-concave penalty based compressive beamforming method for acoustic source identificationSun et al., 2021
- Document ID
- 11854565570304412886
- Author
- Sun S
- Wang T
- Chu F
- Publication year
- Publication venue
- Journal of Sound and Vibration
External Links
Snippet
Acoustic source identification using compressive beamforming has been extensively investigated and applied in numerous fields. In this paper, a generalized minimax-concave (GMC) penalty based compressive beamforming method is proposed. The method solves …
- 241001466737 Scopus 0 description 34
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
- G06F17/141—Discrete Fourier transforms
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Sun et al. | A generalized minimax-concave penalty based compressive beamforming method for acoustic source identification | |
| Gorodnitsky et al. | Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm | |
| Koyama et al. | Sparse representation of a spatial sound field in a reverberant environment | |
| Bai et al. | Acoustic array systems: theory, implementation, and application | |
| Cadzow | Signal processing via least squares error modeling | |
| CN106680762B (en) | A kind of acoustic vector sensor array direction estimation method based on the sparse reconstruct of cross covariance | |
| Mojabi et al. | Ultrasound tomography for simultaneous reconstruction of acoustic density, attenuation, and compressibility profiles | |
| Wipf et al. | Beamforming using the relevance vector machine | |
| Liu et al. | Synthetic aperture radar autofocus based on a bilinear model | |
| Zhongming et al. | A monotonic two-step iterative shrinkage/thresholding algorithm for sound source identification based on equivalent source method | |
| Katzberg et al. | A compressed sensing framework for dynamic sound-field measurements | |
| Borges et al. | Inverse obstacle scattering in two dimensions with multiple frequency data and multiple angles of incidence | |
| Jin et al. | On the convergence of stochastic gradient descent for linear inverse problems in Banach spaces | |
| Isaacson et al. | Optimal acoustic measurements | |
| Hahmann et al. | A convolutional plane wave model for sound field reconstruction | |
| Zhang et al. | Bayesian space-frequency separation of wide-band sound sources by a hierarchical approach | |
| Koponen et al. | Model reduction in acoustic inversion by artificial neural network | |
| Luan et al. | Physics-Informed Neural Network-Driven Sparse Field Discretization Method for Near-Field Acoustic Holography | |
| Zhong et al. | Subspace-based higher-order compressive sensing algorithm for raypath separation in a shallow-water waveguide | |
| Alekseenko et al. | Solution of the three-dimensional acoustic inverse scattering problem. The modified Novikov algorithm | |
| Ning et al. | A robust and efficient compressed sensing algorithm for wideband acoustic imaging | |
| Faverjon et al. | Stochastic inversion in acoustic scattering | |
| Bensoam et al. | Self and mutual radiation impedances between translated spheroids. Application to parallel disks | |
| Young | Wideband space-time processing and wavelet theory | |
| Man'ko | Tomograms, wavelets, and quasidistributions in the geometric picture |