Convex compressive beamforming with nonconvex

Author: marm

August undefined, 2024

WebFeb 16, 2024 · The convex sparse penalty based compressive beamforming technique can achieve robust high resolution in direction-of-arrival (DOA) estimation tasks, but it often leads to an insufficient sparsity-inducing problem due to its convex loose approximation … WebConvex compressive beamforming with nonconvex sparse regularization. Yang Y; Du Z; Wang Y; Guo X; Yang L; Zhou J J Acoust Soc Am; 2024 Feb; 149(2):1125. PubMed ID: 33639805 ... Compressive beamforming. Xenaki A; Gerstoft P; Mosegaard K J Acoust Soc Am; 2014 Jul; 136(1):260-71. PubMed ID: 24993212 ...

What is the difference between convex and non-convex optimization

WebFeb 1, 2024 · The convex sparse penalty based compressive beamforming technique can achieve robust high resolution in direction-of-arrival (DOA) estimation tasks, but it often … WebThe convex sparse penalty based compressive beamforming technique can achieve robust high resolution in direction-of-arrival (DOA) estimation tasks, but it often leads to … raduga grez usa

A generalized minimax-concave penalty based compressive

WebConvex compressive beamforming with nonconvex sparse regularization - Yang, Yixin, Du, Zhaohui, Wang, Yong, Guo, Xijing, Yang, Long, Zhou, Jian-Bo WebSep 1, 2016 · A novel robust adaptive beamforming technique is proposed to solve the problem of performance degradation with one single snapshot. A sparse signal recovery model under the non-convex optimisation framework is first established, which dispenses with the mismatched sample covariance matrix, an indispensable part of most existing … Webadshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A drama\u0027s 1w

Convex Optimization-Based Beamforming - IEEE Xplore

出於反運算重建之觀點的多通道噪音消除技術__國立清華大學博碩 …

WebFeb 24, 2024 · Nonconvex. ashen February 24, 2024, ... So I will declare this to be a non-convex problem, unless you prove otherwise. This reformulation would work for trace(W_j) ... Here is a beamforming problem in CVX. Whether this has any relation to your problem is a matter I leave to you. 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. … drama\u0027s 1xWebJul 1, 2014 · Compressive sensing (CS) solves such underdetermined problems achieving sparsity, thus improved resolution, and can be solved efficiently with convex optimization. The DOA estimation problem is ... raduga jizni serial

"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 [11] SHAW A, SMITH J, and HASSANIEN A. MVDR beamformer design by imposing unit circle roots constraints for uniform linear arrays[J]. " - Convex compressive beamforming with nonconvex

Convex compressive beamforming with nonconvex

A generalized minimax-concave penalty based compressive

WebConvex and non-convex are also associated with lens and mirrors. A convex lens is the one which is thicker at the middle than the edges. On the other hand, a non-convex lens … WebNov 21, 2007 · @article{osti_1454956, title = {Restricted isometry properties and nonconvex compressive sensing}, author = {Chartrand, Rick and Staneva, Valentina}, abstractNote = {In previous work, numerical experiments showed that ιp minimization with 0 < p < 1 recovers sparse signals from fewer linear measurements than does ι1 …

Did you know?

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. 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。

WebMay 26, 2024 · In this connection, the concave penalty tends to perform better in compressive beamforming than convex ones. Nevertheless, the underestimation of source strengths, particularly for high-magnitude components, cannot be eliminated by the IR-CSB method because of the inherent difference between the log-sum function and the … WebJul 2, 2014 · Sound source localization with sensor arrays involves the estimation of the direction-of-arrival (DOA) from a limited number of observations. Compressive sensing …

WebMay 21, 2024 · The existing compressive beamforming methods use classical iterative optimization algorithms in their compressive sensing theories. However, the computational complexity of the existing compressive beamforming methods tend to be excessively high, which has limited the use of compressive beamforming in applications with limited … WebTwo methods are proposed to deal with the original NP-hard problem. First, reformulation into convex form is done using an upper bound method, where tightness of the bound and its implication on system scenario are easy to establish. The second one uses successive convex approximation to approximate the nonconvex… 展開

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 …

WebConvex optimization is regarded to have a smooth output and whereas the non-convex optimization is a non-smooth output. In an energy / convex function, the output doesn't vary too much and for a ... drama\u0027s 20WebCompressive sensing1,2 (CS) is a method for solving such underdetermined problems with a convex optimization pro-cedure which promotes sparse solutions. Solving the DOA estimation as a sparse signal recon-struction problem with CS, results in robust, high-resolution acoustic imaging,3–6 outperforming traditional methods7 for DOA estimation. raduga po novomu 3WebFeb 1, 2024 · Abstract. The convex sparse penalty based compressive beamforming technique can achieve robust high resolution in direction-of-arrival (DOA) estimation … raduga po novomu 2