Webbeamformers by exploiting convex or nonconvex optimization methods. Recently, machine learning is also leveraged for obtain-ing attractive solutions to more complex beamforming scenarios. This article captures the evolution of beamforming in the last twenty-five years from convex-to-nonconvex optimization and optimization-to-learning approaches. WebThe DOA estimation is posed as an underdetermined problem by expressing the acoustic pressure at each sensor as a phase-lagged superposition of source amplitudes at all hypothetical DOAs. Regularizing with an $\ell_1$-norm constraint renders the problem solvable with convex optimization, and promoting sparsity gives high-resolution DOA maps.
Convex compressive beamforming with nonconvex sparse …
WebThis paper studies nonconvex quadratically constrained quadratic program (QCQP), which is known to be NP-hard in general. In the past decades, various approximate approaches have been developed to tackle the QCQP, including semidefinite relaxation (SDR), successive convex approximation (SCA), the variable splitting approach, to name a few. … short ash brown hair with highlights
Nonconvex L1/2 Minimization Based Compressive Sensing …
WebApr 12, 2024 · 云展网提供《通信学报》2024第10 期电子宣传册在线阅读，以及《通信学报》2024第10 期电子书的制作服务。 WebConvex compressive beamforming with nonconvex sparse regularization[J]. The Journal of the Acoustical Society of America, 2024, 149(2): 1125–1137. doi: 10.1121/10.0003373 … Webthe two significant leaps in this research, i.e., convex-to-nonconvex optimization, and optimization-to-learning-based beamforming; ii) depicting in detail the analytical background and the relevance of signal processing tools for beamforming, and iii) introducing the major challenges and emerging signal processing applications of … sba loan lawyers near me