An adaptive and computationally efficient algorithm for parameters estimation of superimposed exponential signals with observations missing randomly-Reference-Cited by-同舟云学术

An adaptive and computationally efficient algorithm for parameters estimation of superimposed exponential signals with observations missing randomly

Published:2016-01 Issue: Volume:48 Page:148-162
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Bian Jiawen,Xing Jing,Liu Jianfeng,Li Zhiming,Li Hongwei

Funder

National Natural Science Foundation of China

48th SRF for ROCS, SEM

Natural Science Foundation of Hubei Province

Fundamental Research Funds for the Central Universities, China University of Geosciences

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

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