High-resolution frequency-wavenumber spectrum analysis

By J. Capon. 1969

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Citations in the corpus

Voice Separation with an Unknown Number of Multiple Speakers (2020, background): “, 2009), the authors present an extension to the minimum variance distortionless response (MVDR) beamformer (Capon, 1969; Frost, 1972).”
AudioGen: Textually Guided Audio Generation (2022, background): “Audio is intrinsically a one dimensional signal and thus has less degrees of freedom to differentiate overlapping “objects” (Capon, 1969; Frost, 1972).”
MIMO Radar Waveform Optimization With Prior Information of the Extended Target and Clutter (2009, background): “The solution to the above problem is [37]”
Estimation of turbulent convection velocities and corrections to Taylor's approximation (2009, background): “The ω−kx spectrum is conventionally estimated from a space–time series of measurements, q(x, z, y, t), acquired by an array of sensors as described by Capon (1969). The time series from each sensor is divided into segments of N samples that, since they are generally not periodic, are windowed at the”
TOPS: new DOA estimator for wideband signals (2006, methodology): “Capon’s method [22] is employed as the low-resolution algorithm to obtain the estimates .”
MIMO Radar Space–Time Adaptive Processing Using Prolate Spheroidal Wave Functions (2008, background): “The well-known solution to the above problem is [20]”
Complex Neural Spatial Filter: Enhancing Multi-Channel Target Speech Separation in Complex Domain (2021, background): “MVDR is a classic and effective spatial beamformer proposed in [31], optimized with a constraint that minimizes the noise level without distorting the target speech.”
Sparse Methods for Direction-of-Arrival Estimation (2016, background): “Capon’s beamformer was later proposed to improve the estimation performance of closely spaced sources [1].”
MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints (2014, background): “The output of the filter can be written as (7) where denotes the transpose conjugate.”
Direction-of-Arrival Estimation Using a Mixed $\ell _{2,0}$ Norm Approximation (2010, background): “Many high-resolution algorithms are available, see [3] and references therein.”
Separable nonlinear least squares: the variable projection method and its applications (2003, methodology): “Several approaches have been developed through the years for solving these problems, including Capon’s [ 23 ] maximum-likelihood and Burg’s [19] maximum-entropy methods.”
Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique (2001, methodology): “1) Minimum-Variance Distortionless Beamformer: One well-known beamformer technique is the minimum-variance distortionless beamformer [14], in which the weight vector is obtained by minimizing with the constraint of 1.”
Multi-Pitch Estimation (2009, background): “, [22,29]), which relies on the design of a set of filters that pass power undistorted at specific frequencies, here the harmonic frequencies, while minimizing the power at all other frequencies.”
Quadratic Shrinkage for Large Covariance Matrices (2020, methodology): “The above framework carries through one-for-one as we move to Capon (1969) beamforming in signal processing (radar, sonar, wireless communications, seismology, etc). When a narrow-band source impinging upon an array of sensors, the vector μ should be interpreted as a response vector that includes ef”
Signal Synthesis and Receiver Design for MIMO Radar Imaging (2008, background): “CAPES was proposed in [28] to reap the benefits of both Capon (which has high resolution) and APES (which gives accurate amplitude estimates).”
Pyroomacoustics: A Python Package for Audio Room Simulation and Array Processing Algorithms (2017, background): “Namely, by including only the direct we recover the DS [10] and MVDR [11] beamformers.”
Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey (2023, methodology): “Similar to MUSIC and ESPRIT methods, MVDR method ﬁrstly constructs channel information matrix.”
Exploring the model space and ranking a best class of models in surface-wave dispersion inversion: Application at European strong-motion sites (2012, methodology): “The f-k method provides the propagation characteristics (i.e., apparent surface-wave phase velocity and azimuth) of waves traveling across the array and includes conventional beamforming (Lacoss et al., 1969; Kvaerna and Ringdahl, 1986) and high-resolution f-k (Capon, 1969).”