Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Jwo-Yuh Wu"'
Autor:
Jue Chen, Siyao Lu, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 507-522 (2024)
The demodulation reference signal of the 5G Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing (MIMO-OFDM) waveform has been designed for supporting Minimum Mean-Square Error-Interference Rejection Combining (MMSE-IRC) equaliza
Externí odkaz:
https://doaj.org/article/db27ea422fb24cc3930322db934226a3
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2008 (2008)
Relying on a simple flag-assisted mechanism, a multigroup priority queueing (MGPQ) medium access control (MAC) protocol is proposed for the wireless networks with multipacket reception (MPR). The proposed MGPQ scheme is capable of overcoming two majo
Externí odkaz:
https://doaj.org/article/81fc538ed7e9439c866e694aaf588071
Autor:
Jwo-Yuh Wu, 吳卓諭
91
We study periodic filters and its inverse design problem, with applications to blind channel identification and equalization. The adopted multi-input multi-output (MIMO) time-invariant representation of periodic filters allows considerable si
We study periodic filters and its inverse design problem, with applications to blind channel identification and equalization. The adopted multi-input multi-output (MIMO) time-invariant representation of periodic filters allows considerable si
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/48443054462586381640
Autor:
Jue Chen, Shuai Shao, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo
Publikováno v:
IEEE Transactions on Vehicular Technology. 72:2145-2160
The novel concept of joint Compressive Sensing (CS) and Low Density Parity Check (LDPC) coding is conceived for Joint Source-Channel Coding (JSCC) in Wireless Sensor Networks (WSNs) supporting a massive number of signals. More explicitly, we demonstr
Autor:
Jue Chen, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo
Publikováno v:
IEEE Sensors Journal. 23:434-451
Novel techniques are conceived for joint compressive sensing (CS) and low-density parity check (LDPC) coding in wireless sensor networks (WSNs), namely, a soft-input soft-output (SISO) tree search sphere decoding (SD) technique and an SISO Hamming di
Conventional sparse phase retrieval schemes can recover sparse signals from the magnitude of linear measurements only up to a global phase ambiguity. This work proposes a novel approach that instead utilizes the magnitude of affine measurements to ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de88bc9c050d04567bf523d0cf972d07
http://arxiv.org/abs/2105.11381
http://arxiv.org/abs/2105.11381
Autor:
Jwo-Yuh Wu, Wen-Hsuan Li
Publikováno v:
IEEE Transactions on Information Theory. 65:4532-4549
Cooperative beamforming is a potentially useful technique for enhancing link reliability in modern wireless relay communications. To aid the beamforming design, the signal-to-noise ratio (SNR) of the source-to-relay (S-R) channel links must be known
Autor:
Peter Hailes, Tsang-Yi Wang, Jwo-Yuh Wu, Shuai Shao, Lajos Hanzo, Bashir M. Al-Hashimi, Robert G. Maunder
Publikováno v:
IEEE Communications Surveys & Tutorials
Channel coding may be viewed as the best-informed and most potent component of cellular communication systems, which is used for correcting the transmission errors inflicted by noise, interference, and fading. The powerful turbo code was selected to
Autor:
Chih Peng Li, Tsang Yi Wang, Jwo-Yuh Wu, Lajos Hanzo, Soon Xin Ng, Jue Chen, Robert G. Maunder
Publikováno v:
IEEE Sensors Journal
A new support identification technique based on factor graphs and belief propagation is proposed for compressive sensing (CS) aided wireless sensor networks (WSNs), which reliably estimates the locations of non-zero entries in a sparse signal through
Publikováno v:
SAM
Sparse subspace clustering (SSC) using greedy- based neighbor selection, such as matching pursuit (MP) and orthogonal matching pursuit (OMP), has been known as a popular computationally-efficient alternative to the conventional l 1 -minimization base