کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
563292 875486 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Linear and nonlinear smoothing algorithms for widely factorizable signals
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Linear and nonlinear smoothing algorithms for widely factorizable signals
چکیده انگلیسی

The fixed-point smoothing estimation problem is analyzed for a class of improper complex-valued signals, called widely factorizable, characterized because the correlation of the augmented vector formed by the signal and its conjugate is a factorizable kernel. For this type of signal, widely linear processing is the most suitable approach considering the complete information of the augmented correlation function. Then, from only the knowledge of the second order properties of the augmented vectors involved, linear and nonlinear smoothing algorithms are provided without the necessity of postulating a state-space model. Moreover, in the linear case, recursive formulas for computing the fixed-point smoothing estimation error are proposed.


► WL fixed-point smoothing algorithms are given for both linear and nonlinear systems.
► Only second-order statistics information is used and no state-space model is needed.
► Superiority of WL algorithms over conventional SL ones is numerically illustrated.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 93, Issue 4, April 2013, Pages 897–903
نویسندگان
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