scholarly journals Neyman-pearson detection of gauss-Markov signals in noise: closed-form error exponentand properties

2006 ◽  
Vol 52 (4) ◽  
pp. 1354-1365 ◽  
Author(s):  
Y. Sung ◽  
L. Tong ◽  
H.V. Poor
Keyword(s):  
Closed Form ◽  
Form Error

scholarly journals Multiple-term approximations for Appell's F1 function

1997 ◽  
Vol 39 (1) ◽  
pp. 135-148
Author(s):  
Magdi A. El-Gabali
Keyword(s):  
Error Analysis ◽  
Closed Form ◽  
Wide Class ◽  
Special Functions ◽  
Form Error ◽  
Novel Technique ◽  
Highly Efficient ◽  
Image Position

AbstractIn this paper computational issues of Appell's F1 functionare addressed. A novel technique is used in the derivation of highly efficient multiple-term approximations of this function (including asymptotic ones). Simple structured single- and double-term approximations, as the first two candidates of this multiple-term representa-tion, are developed in closed form. Error analysis shows that- the developed algorithms are superior to existing approximations for the same number of terms. The formulation presented is highly efficient and could be extended to a wide class of special functions.

Closed-Form Error Analysis of AF-CARQ with CSI-Assisted Relay over Nakagami- $$m$$ m Fading Channels

2014 ◽  
Vol 78 (1) ◽  
pp. 629-647 ◽  
Author(s):  
Suoping Li ◽  
Kun Wu ◽  
Yongqiang Zhou ◽  
Zufang Dou
Keyword(s):  
Error Analysis ◽  
Closed Form ◽  
Fading Channels ◽  
Form Error
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