مشاهده مشخصات مقاله
Adaptive Forgetting Factor RLS Algorithm Based on Gradient of Inverse Correlation Matrix Applied to Human Motion Analysis
|
نویسنده (ها) |
-
Hadi Sadoghi Yazdi
-
Seyed Ebrahim Hosseini
-
Mohammad Reza Mohammadi
|
|
مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
|
چکیده |
This paper is concerned with studying the forgetting
factor of the recursive least square (RLS). A new dynamic
forgetting factor (DFF) for RLS algorithm is presented. The
proposed DFF-RLS is compared to other methods. Better
performance at convergence and tracking of noisy chirp sinusoid is
achieved. The control of the forgetting factor at DFF-RLS is based
on the gradient of inverse correlation matrix. Compared with the
gradient of mean square error algorithm, the proposed approach
provides faster tracking and smaller mean square error. In low
signal-to-noise ratios, the performance of the proposed method is
superior to other approaches. |
|
قیمت |
-
برای اعضای سایت : ۱٠٠,٠٠٠ ریال
-
برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
-
برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
|
خرید مقاله
|
|
.gif){kind=icon}