Fast Eigen solution for homogeneous quadratic minimization with at most three constraints


Autoria(s): Gaurav, Dinesh Dileep; Hari, KVS
Data(s)

01/10/2013

Resumo

We propose an eigenvalue based technique to solve the Homogeneous Quadratic Constrained Quadratic Programming problem (HQCQP) with at most three constraints which arise in many signal processing problems. Semi-Definite Relaxation (SDR) is the only known approach and is computationally intensive. We study the performance of the proposed fast eigen approach through simulations in the context of MIMO relays and show that the solution converges to the solution obtained using the SDR approach with significant reduction in complexity.

Formato

application/pdf

Identificador

http://eprints.iisc.ernet.in/47384/1/IEEE_Sign_Proc_Lett_20-10_968_2013.pdf

Gaurav, Dinesh Dileep and Hari, KVS (2013) Fast Eigen solution for homogeneous quadratic minimization with at most three constraints. In: IEEE Signal Processing Letters, 20 (10). pp. 968-971.

Publicador

IEEE-Institute of Electrical and Electronics Engineers

Relação

http://dx.doi.org/10.1109/LSP.2013.2276791

http://eprints.iisc.ernet.in/47384/

Palavras-Chave #Electrical Communication Engineering
Tipo

Journal Article

PeerReviewed