@article{(Open Science Index):https://publications.waset.org/pdf/6759,
	  title     = {Blind Identification of MA Models Using Cumulants},
	  author    = {Mohamed Boulouird and  Moha M'Rabet Hassani},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, many techniques for blind identification of moving average (MA) process are presented. These methods utilize third- and fourth-order cumulants of the noisy observations of the system output. The system is driven by an independent and identically distributed (i.i.d) non-Gaussian sequence that is not observed. Two nonlinear optimization algorithms, namely the Gradient Descent and the Gauss-Newton algorithms are exposed. An algorithm based on the joint-diagonalization of the fourth-order cumulant matrices (FOSI) is also considered, as well as an improved version of the classical C(q, 0, k) algorithm based on the choice of the Best 1-D Slice of fourth-order cumulants. To illustrate the effectiveness of our methods, various simulation examples are presented.
},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {1},
	  number    = {6},
	  year      = {2007},
	  pages     = {869 - 873},
	  ee        = {https://publications.waset.org/pdf/6759},
	  url   	= {https://publications.waset.org/vol/6},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 6, 2007},
	}