Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Liu-Li Wu"'
Publikováno v:
Cailiao gongcheng, Vol 48, Iss 8, Pp 1-13 (2020)
The stimulus-response composite is a kind of intelligent material, which usually possesses the characteristics of self-perception, autonomous response, shape memory, adaptive and self-healing. The stimulus-response materials used in 4D printing were
Externí odkaz:
https://doaj.org/article/30da1e07b1704767a1e304650434791e
Publikováno v:
IEEE Signal Processing Letters. 26:1688-1692
In this letter, a deep learning framework for direction of arrival (DOA) estimation is developed. We first show that the columns of the array covariance matrix can be formulated as under-sampled noisy linear measurements of the spatial spectrum. Then
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcfb941c250da0b872aeb076e829cc9a
https://doi.org/10.1109/lsp.2019.2945115
https://doi.org/10.1109/lsp.2019.2945115
Publikováno v:
IEEE Communications Letters. 23:1029-1032
This letter presents a support vector regression-based direction finding scheme in a wide range of frequencies. The proposed solution consists of two innovations: preprocessing and post-processing. Preprocessing takes advantage of the conjugate symme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5956ffd90451022100817b8ff8852dc
https://doi.org/10.1109/lcomm.2019.2910253
https://doi.org/10.1109/lcomm.2019.2910253
Autor:
Zhi-Tao Huang, Liu-Li Wu
Publikováno v:
IEEE Signal Processing Letters. 26:642-646
In this letter, we propose a coherent support vector regression (SVR) scheme to address the wideband direction of arrival (DOA) estimation problem. This learning-based method deals with wideband DOA estimation by treating it as a function approximati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00f947a66a9c4cd25483c0da5c8d8632
https://doi.org/10.1109/lsp.2019.2901641
https://doi.org/10.1109/lsp.2019.2901641
Publikováno v:
Signal, Image and Video Processing. 13:307-311
We investigated the problem of source enumeration in array signal processing. The conventional batch estimating methods do not yield satisfactory tracking performance in a dynamic environment. In order to solve this problem, an online source number e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adff5cc745c3de42ad042e006996c888
https://doi.org/10.1007/s11760-018-1358-x
https://doi.org/10.1007/s11760-018-1358-x
Publikováno v:
2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP).
Deep neural network (DNN) requires large-scale labeled training data to prevent converging to poor local-minima and maintain satisfactory performance. In DOA estimation problem, however, acquiring sufficient measured data is challenging and demanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f4f5c4788a9f1dec20668abb508e1db
https://doi.org/10.1109/icsidp47821.2019.9172921
https://doi.org/10.1109/icsidp47821.2019.9172921
Publikováno v:
Signal, Image and Video Processing. 11:203-209
This paper addresses the problem of direction-of-arrival (DOA) estimation of multiple sources for spatial optical beam forming network (SOBFN). A method which utilizes sparse Bayesian learning techniques to reconstruct the spatial power spectrum of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5f82b47330c923b99d1f324d9f5fe96
https://doi.org/10.1007/s11760-016-0920-7
https://doi.org/10.1007/s11760-016-0920-7
Publikováno v:
Optical and Quantum Electronics. 47:3041-3051
Spatial optical beam-forming network (OBFN) is a superior structure than traditional ones in bandwidth adaptability, system complexity, and so forth. Compared with conventional beam-forming network, the output signal model of OBFN is different, makin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09cf59d4be75946beb7e6ea84b1328ab
https://doi.org/10.1007/s11082-015-0191-5
https://doi.org/10.1007/s11082-015-0191-5
Autor:
Liu-Li Wu Liu-Li Wu, Wen-li Jiang, Zheng Liu, Xiaohu Ru, Qing He Qing He, Peng Xiong Peng Xiong
Publikováno v:
IET International Radar Conference 2015.
This paper proposes a method to identify the hybrid modulation signals. Firstly, the method utilizes instantaneous frequency (IF) of signals combined with histogram to classify conventional signals and hybrid modulation signals. Then an improved sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ac686a81fd440e42db8a696a519cbf0
https://doi.org/10.1049/cp.2015.1090
https://doi.org/10.1049/cp.2015.1090
Publikováno v:
MATEC Web of Conferences, Vol 22, p 02027 (2015)
This paper proposes a method that utilizes AR model power spectrum estimation based on Burg algorithm to estimate the number of carrier frequency in single pulse. In the modern electronic and information warfare, the pulse signal form of radar is com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5993a133e133ab6411de13fe3fd1cc55
https://doaj.org/article/2919e7d39ebe4c0680a8b648d2c2b789
https://doaj.org/article/2919e7d39ebe4c0680a8b648d2c2b789