Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Jiuchao Feng"'
Autor:
Simiao Yang, Deli Li, Jiuchao Feng, Binchen Gong, Qing Song, Yue Wang, Zhen Yang, Yonghua Chen, Qi Chen, Wei Huang
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 10, Pp n/a-n/a (2024)
Abstract In spiking neural networks (SNNs), artificial sensor neurons are crucial for converting real‐world analog information into encoded spikes. However, existing SNNs face challenges due to the inefficient implementation of input sensor neurons
Externí odkaz:
https://doaj.org/article/b3565e2182a641e39ed9e97f914ba953
Publikováno v:
IEEE Access, Vol 4, Pp 5908-5917 (2016)
Environmental consideration provides new trends in wireless communication network known as green communication. The main object of green communication is to save as much as possible the energy consumption of the communication system. In this paper, t
Externí odkaz:
https://doaj.org/article/3147290ec08c4c1e9b27a59752851331
Publikováno v:
Algorithms, Vol 10, Iss 1, p 7 (2017)
This paper presents a variant of the iterative shrinkage-thresholding (IST) algorithm, called backtracking-based adaptive IST (BAIST), for image compressive sensing (CS) reconstruction. For increasing iterations, IST usually yields a smoothing of the
Externí odkaz:
https://doaj.org/article/1b52af6a7dd243fb9cefd7c96662a476
Autor:
Jiuchao Feng
This book provides a systematic review of the fundamental theory of signal reconstruction and the practical techniques used in reconstructing chaotic signals. Specific applications of signal reconstruction methods in chaos-based communications are ex
Publikováno v:
Journal of High Speed Networks. 22:281-291
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fcaa9a286309db953af551328b66458
https://doi.org/10.3233/jhs-160549
https://doi.org/10.3233/jhs-160549
Publikováno v:
Chaos, Solitons & Fractals. 87:12-16
Memristor-based chaotic systems have complex dynamical behaviors, which are characterized as nonlinear and hysteresis characteristics. Modeling and identification of their nonlinear model is an important premise for analyzing the dynamical behavior o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::048d43d6745dacd7aa1c785491853979
https://doi.org/10.1016/j.chaos.2016.03.004
https://doi.org/10.1016/j.chaos.2016.03.004
Publikováno v:
IEEE Access, Vol 4, Pp 5908-5917 (2016)
Environmental consideration provides new trends in wireless communication network known as green communication. The main object of green communication is to save as much as possible the energy consumption of the communication system. In this paper, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7939ca3e4151ae5ed77dfcd8c8e264f6
https://ieeexplore.ieee.org/document/7478010/
https://ieeexplore.ieee.org/document/7478010/
Publikováno v:
Digital Signal Processing. 48:130-136
We propose a new method to predict the chaotic time series.The gradient descent method is used in M-QKLMS to reduce the steady-state MSE.The modified quantization method is incorporated in M-QKLMS to reduce the network size.The energy conservation re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49b49bbf8540bb851d2ae0c96eb2f0d6
https://doi.org/10.1016/j.dsp.2015.09.015
https://doi.org/10.1016/j.dsp.2015.09.015
Autor:
Zhi Zhao, Jiuchao Feng
Publikováno v:
Mathematical Problems in Engineering, Vol 2016 (2016)
We study reconstruction of time-varying sparse signals in a wireless sensor network, where the bandwidth and energy constraints are considered severely. A novel particle filter algorithm is proposed to deal with the coarsely quantized innovation. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::704b82ddbfb122078e318901da2896f6
https://doi.org/10.1155/2016/9410873
https://doi.org/10.1155/2016/9410873
Publikováno v:
AEU - International Journal of Electronics and Communications. 69:314-320
This paper extends the cubature Kalman filter (CKF) to deal with systems involving nonlinear states and linear measurements (herein called the nonlinear–linear combined systems) with additive noise. The method is referred to as the nonlinear–line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b060c1962b322a0fa9a4eb2dc956e5e
https://doi.org/10.1016/j.aeue.2014.09.017
https://doi.org/10.1016/j.aeue.2014.09.017