Asset Details
Do you wish to reserve the book?
Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank- $(L_r,L_r,1)$Terms
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank- $(L_r,L_r,1)$Terms
Do you wish to request the book?
Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank- $(L_r,L_r,1)$Terms
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank- $(L_r,L_r,1)$Terms
2011
Overview
We present a new necessary and sufficient condition for essential uniqueness of the decomposition of a third-order tensor in rank- $(L_r,L_r,1)$terms. We derive a new deterministic technique for blind signal separation that relies on this decomposition. The method assumes that the signals can be modeled as linear combinations of exponentials or, more generally, as exponential polynomials. The results are illustrated by means of numerical experiments.
Publisher
Society for Industrial and Applied Mathematics
