Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation

Journal article

Peer reviewed

Jarvis Haupt, Waheed U Bajwa, Gil Raz and Robert Nowak

IEEE transactions on information theory, Vol.56(11), pp.5862-5875

2010

Abstract

Applied sciences

Detection, estimation, filtering, equalization, prediction

Exact sciences and technology

Information theory

Information, signal and communications theory

Sampling, quantization

Signal and communications theory

Signal, noise

Systems, networks and services of telecommunications

Telecommunications

Telecommunications and information theory

Transmission and modulation (techniques and equipments)

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Title: Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Creators: Jarvis Haupt - Department of Electrical and Computer Engineering, Uni versity of Minnesota, Minneapolis, MN 55455, United States
Waheed U Bajwa - Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ U8544, United States
Gil Raz - GMR Research and Technology, Concord, MA 01742, United States
Robert Nowak - Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706-1691, United States
Publication Details: IEEE transactions on information theory, Vol.56(11), pp.5862-5875
Date published: 2010
Publisher: Institute of Electrical and Electronics Engineers
Academic Unit: Electrical and Computer Engineering (SOE)
Language: English
Resource Type: Journal article
Identifiers: 991031665427404646