MLICA-Based Separation Algorithm for Complex Sinusoidal Signals with PDF Parameter Optimization-Reference-Cited by-同舟云学术

MLICA-Based Separation Algorithm for Complex Sinusoidal Signals with PDF Parameter Optimization

Published:2012 Issue:11 Volume:E95.B Page:3556-3562
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

OKANO Tetsuhiro¹,KIDERA Shouhei²,KIRIMOTO Tetsuo²

Affiliation:

1. Hokkaido Electric Power Co.

2. Graduate School of Informatics and Engineering, The University of Electro-Communications

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

https://www.jstage.jst.go.jp/article/transcom/E95.B/11/E95.B_3556/_pdf

Reference9 articles.

1. [2] T. Adali and H. Li, “A practical formulation for computation of complex gradients and its application to maximum likelihood ICA,” Proc. IEEE ICASSP'07, pp.633-636, April 2007.

2. [3] A.J. Bell and T.J. Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Comput., vol.7, pp.1129-1159, 1995.

3. Independent component approach to the analysis of EEG and MEG recordings

4. [5] H. Nakahara, N. Kikuma, and N. Inagaki, “Signal separation of indoor/pico-cell multipath waves using FFT-MUSIC with triangular antenna array,” Proc. ISAP'96, pp.1085-1088, Sept. 1996.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Super-Resolution Time of Arrival Estimation Using Random Resampling in Compressed Sensing;IEICE Transactions on Communications;2018-06-01

2. Super Resolution TOA Estimation Algorithm with Maximum Likelihood ICA Based Pre-Processing;IEICE Transactions on Communications;2013