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作 者:Yan-cheng LU Ning BI An-hua WAN
机构地区:[1]School of Mathematics,Sun Yat-sen University,Guangzhou 510275,China
出 处:《Acta Mathematicae Applicatae Sinica》2024年第3期801-822,共22页应用数学学报(英文版)
基 金:supported by the National Natural Science Foundation of China(Nos.12171496,12171490,11971491 and U1811461);Guangdong Basic and Applied Basic Research Foundation(2024A1515012057)。
摘 要:The one-bit compressed sensing problem is of fundamental importance in many areas,such as wireless communication,statistics,and so on.However,the optimization of one-bit problem coustrained on the unit sphere lacks an algorithm with rigorous mathematical proof of convergence and validity.In this paper,an iteration algorithm is established based on difference-of-convex algorithm for the one-bit compressed sensing problem constrained on the unit sphere,with iterating formula■,where C is the convex cone generated by the one-bit measurements andη_(1)>η_(2)>1/2.The new algorithm is proved to converge as long as the initial point is on the unit sphere and accords with the measurements,and the convergence to the global minimum point of the l_(1)norm is discussed.
关 键 词:one-bit compressed sensing difference of convex algorithm iteration algorithm ■1-minimization
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