کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
412192 679619 2014 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quasi-Newton Iterative Projection Algorithm for Sparse Recovery
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Quasi-Newton Iterative Projection Algorithm for Sparse Recovery
چکیده انگلیسی

A computationally simple and efficient algorithm for compressed sensing is proposed. The algorithm, a simple combination of the orthogonal projection algorithm and of a novel quasi-Newton optimization scheme, is termed Quasi-Newton Iterative Projection (QNIP). There are two main advantages of the proposed algorithm. First, the computation of the proposed algorithm is very simple, which involves the application of the sampling matrix and its transpose at each iteration. Second, the algorithm appears to require a fewer number of iterations for convergence, whilst it provides a higher rate of perfect recovery compared with the reference algorithms. The performance of the proposed algorithm is validated via theoretical analysis as well as some numerical examples.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 144, 20 November 2014, Pages 169–173
نویسندگان
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