Search Results - rank-constrained spatial covariance matrix estimation

Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction by Kondo, Yuto, Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

“…Rank-constrained spatial covariance matrix estimation (RCSCME) is a state-of-the-art blind speech extraction method applied to cases where one directional target speech and diffuse noise are mixed…”
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Real-Time Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation and Spatially Regularized Independent Low-Rank Matrix Analysis with Fast Demixing Matrix Estimation by Ishikawa, Yuto, Nakamura, Tomohiko, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi, Takahashi, Yu, Kondo, Kazunobu

“…) and rank-constrained spatial covariance matrix estimation (RCSCME). It has been reported that, in an offline scenario, the RCSCME-based method…”
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Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction by Kondo, Yuto, Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

“…Rank-constrained spatial covariance matrix estimation (RCSCME) is a state-of-the-art blind speech extraction method applied to cases where one directional target speech and diffuse noise are mixed…”
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Real-Time Speech Extraction Using Spatially Regularized Independent Low-Rank Matrix Analysis and Rank-Constrained Spatial Covariance Matrix Estimation by Ishikawa, Yuto, Konaka, Kohei, Nakamura, Tomohiko, Takamune, Norihiro, Saruwatari, Hiroshi

“…) and rank-constrained spatial covariance matrix estimation (RCSCME). The RCSCME-based method is a multichannel blind speech extraction method that demonstrates superior speech extraction performance in diffuse noise environments…”
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Deficient-basis-complementary rank-constrained spatial covariance matrix estimation based on multivariate generalized Gaussian distribution for blind speech extraction by Kondo, Yuto, Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

“…Rank-constrained spatial covariance matrix estimation (RCSCME) is a blind speech extraction method utilized under the condition that one-directional target speech and diffuse background noise are mixed…”
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Blind Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation With Multivariate Generalized Gaussian Distribution by Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

“…) and efficient rank-constrained spatial covariance matrix (SCM) estimation. To achieve more accurate BSE than ILRMA, which assumes each source to be a point source…”
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Real-time Speech Extraction Using Spatially Regularized Independent Low-rank Matrix Analysis and Rank-constrained Spatial Covariance Matrix Estimation by Ishikawa, Yuto, Konaka, Kohei, Nakamura, Tomohiko, Takamune, Norihiro, Saruwatari, Hiroshi

“…) and rank-constrained spatial covariance matrix estimation (RCSCME). The RCSCME-based method is a multichannel blind speech extraction method that demonstrates superior speech extraction performance in diffuse noise environments…”
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Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis by Misawa, Sota, Takamune, Norihiro, Nakamura, Tomohiko, Kitamura, Daichi, Saruwatari, Hiroshi, Une, Masakazu, Makino, Shoji

“…Rank-constrained spatial covariance matrix estimation (RCSCME) is a method for the situation that the directional target speech and the diffuse noise are mixed…”
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Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction by Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

“…In this paper, we propose new accelerated update rules for rank-constrained spatial covariance model estimation, which efficiently extracts a directional target source in diffuse background noise…”
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Evaluation of Multichannel Hearing Aid System by Rank-Constrained Spatial Covariance Matrix Estimation by Une, Masakazu, Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi, Makino, Shoji

“… On the other hand, rank-constrained spacial covariance matrix (SCM) estimation overcomes the problem…”
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Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis by Misawa, Sota, Takamune, Norihiro, Nakamura, Tomohiko, Kitamura, Daichi, Saruwatari, Hiroshi, Une, Masakazu, Makino, Shoji

“…Rank-constrained spatial covariance matrix estimation (RCSCME) is a method for the situation that the directional target speech and the diffuse noise are mixed…”
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Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction by Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

“…In this paper, we propose new accelerated update rules for rank-constrained spatial covariance model estimation, which efficiently extracts a directional target source in diffuse background…”
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A Rank-Constrained Coordinate Ascent Approach to Hybrid Precoding for the Downlink of Wideband Massive (MIMO) Systems by González-Coma, José P., Fresnedo, Óscar, Castedo, Luis

“… The proposed solution, termed Rank-Constrained Coordinate Ascent (RCCA), starts seeking the full-digital precoder that maximizes the achievable sum-rate over all the…”
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Coherent Source Enumeration With Compact ULAs by Sil, Dibakar, Krishnan, Sunder Ram, Mishra, Kumar Vijay

“… We address this by decomposing the forward-backward smoothed covariance matrix into a sum of a rank-constrained Toeplitz matrix and a diagonal matrix with non-negative entries representing the signal…”
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Robust adaptive beamforming for multiple-input multiple-output radar with spatial filtering techniques by Qian, Junhui, He, Zishu, Zhang, Wei, Huang, Yulong, Fu, Ning, Chambers, Jonathon

“…•The covariance matrix estimation method is presented via the matrix rank-constrained minimization method…”
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A Physically Constrained Maximum-Likelihood Method for Snapshot-Deficient Adaptive Array Processing by Kraay, A.L., Baggeroer, A.B.

“…This paper presents a physically constrained maximum-likelihood (PCML) method for spatial covariance matrix and power spectral density estimation as a reduced-rank adaptive array processing algorithm…”
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Array signal processing algorithms for beamforming and direction finding by Wang, Lei

“… In this thesis, we focus on the development of array processing algorithms in the application of beamforming and direction of arrival (DOA) estimation…”
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