Title :
Sequential detection using a new recursive-averaging cumulant estimation method
Author :
Hui, F.L. ; Lau, W.H. ; Leung, S.H. ; Luk, A.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong
fDate :
30 Apr-3 May 1995
Abstract :
This paper proposes a new method to compute the third-order cumulants for a sequential data stream of arbitrary length. The new method is based on both the overlapping and recursive techniques to accommodate the missing correlations in the indirect method. The method is referred to as the Recursive-Averaging Cumulant Estimation (RACE). The new method has been used in signal detection problems and satisfactory results are obtained
Keywords :
higher order statistics; recursive estimation; sequential estimation; signal detection; RACE method; arbitrary length data set; nonlinear signal detection; recursive-averaging cumulant estimation; sequential data stream; sequential detection; signal detection problems; third-order cumulants; Cities and towns; Data engineering; Data processing; Gaussian processes; Higher order statistics; Recursive estimation; Signal detection; Signal processing; Signal reconstruction;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.523887
