کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7116764 1461210 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Low-complexity single-channel blind source separation
ترجمه فارسی عنوان
تقسیم منبع کور تک کانال با کمترین پیچیدگی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی برق و الکترونیک
چکیده انگلیسی
For the time-frequency overlapped signals, a low-complexity single-channel blind source separation (SBSS) algorithm is proposed in this paper. The algorithm does not only introduce the Gibbs sampling theory to separate the mixed signals, but also adopts the orthogonal triangle decomposition-M (QRD-M) to reduce the computational complexity. According to analysis and simulation results, we demonstrate that the separation performance of the proposed algorithm is similar to that of the per-survivor processing (PSP) algorithm, while its computational complexity is sharply reduced.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Journal of China Universities of Posts and Telecommunications - Volume 24, Issue 3, June 2017, Pages 7-15
نویسندگان
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