Second-order complex random vectors and normal distributions

被引:243
作者
Picinbono, B
机构
[1] Laboratoire des Signaux et Systèmes, Supélec. Plateau de Moulon
关键词
D O I
10.1109/78.539051
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Complex random vectors are usually described by their covariance matrix, This is insufficient for a complete description of second-order statistics, and another matrix called relation matrix is necessary, Some of its properties are analyzed and used to express the probability density function of normal complex vectors, Various consequences are presented.
引用
收藏
页码:2637 / 2640
页数:4
相关论文
共 9 条
[1]  
Amblard P. O., 1995, P 15 S GRETSI, P141
[2]  
Kay S. M., 1989, MODERN SPECTRAL ANAL
[3]  
Miller K. S., 1964, MULTIDIMENSIONAL GAU
[4]  
MONZIGO RA, 1980, INTRO ADAPTIVE ARRAY
[5]   PROPER COMPLEX RANDOM-PROCESSES WITH APPLICATIONS TO INFORMATION-THEORY [J].
NEESER, FD ;
MASSEY, JL .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1993, 39 (04) :1293-1302
[6]   WIDELY LINEAR-ESTIMATION WITH COMPLEX DATA [J].
PICINBONO, B ;
CHEVALIER, P .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1995, 43 (08) :2030-2033
[7]   ON CIRCULARITY [J].
PICINBONO, B .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1994, 42 (12) :3473-3482
[8]  
Picinbono B., 1993, RANDOM SIGNALS SYSTE
[9]   THE MULTIVARIATE COMPLEX NORMAL-DISTRIBUTION - A GENERALIZATION [J].
VANDENBOS, A .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1995, 41 (02) :537-539