Feb 24, 2022 · In this article, we propose an efficient implementation method for the Fourier dictionary-based SBL (FD-SBL). In the case that the Fourier ...

In many applications, such as the radar imaging and the array signal processing, the signal to be recovered is sparse in the Fourier dictionary. In this paper, ...

Jan 19, 2024 · In this article, we propose an efficient implementation method for the Fourier dictionary-based SBL (FD-SBL). In the case that the Fourier ...

This paper proposes an efficient FD-SBL method to implement SSR for uniformly sampled one-dimensional (1D) case by utilizing the property that the matrix to ...

In our proposed algorithms, utilizing the G-S factorization of the inverse of the Hermitian Toplitz-block-Toeplitz matrix and the structure of the dictionary ...

We present herein a novel fast implementation of IAA using a Gohberg-Semencul (G-S)-type factorization of the IAA covariance matrix. By exploiting the Toeplitz ...

Gohberg-Semencul Factorization-Based Fast Implementation of Sparse Bayesian Learning With a Fourier Dictionary · Engineering, Computer Science. IEEE Transactions ...

Gohberg-Semencul Factorization-Based Fast Implementation of Sparse Bayesian Learning With a Fourier Dictionary. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 ...

GOHBERG-SEMENCUL FACTORIZATION. 5.1 Introduction to Spectral Estimation ... [120] Tipping, M. E. “Sparse Bayesian learning and the relevance vector machine.

Gohberg-Semencul formula [20] and non-uniform fast Fourier transforms [21] ... Rao, “A sparse. Bayesian learning algorithm with dictionary parameter estimation,”.