Results 141 to 150 of about 4,199 (203)

Implementation of the deep learning method for signal detection in massive-MIMO-NOMA systems. [PDF]

Heliyon
Kumar A, Gaur N, Gupta M, Nanthaamornphong A.   +3 more
europepmc   +1 more source

Reduction Method for a Network-on-Chip Low-Level Modeling. [PDF]

Micromachines (Basel)
Lezhnev EV, Romanov AY, Telpukhov DV, Solovyev RA, Romashikhin MY.   +4 more
europepmc   +1 more source

Reaction time variations in normal aging and elderly MCI patients under various cognitive load conditions. [PDF]

Front Hum Neurosci
Zhu Y, Chen Z, Shi Z, Chen J, Zuo Q, Yang Z, Zhang W, Li W, Lu S, Peng S, Gou L.   +10 more
europepmc   +1 more source

HASCom: A Heterogeneous Affective-Semantic Communication Framework for Speech Transmission. [PDF]

Sensors (Basel)
Yu Z, Zhu T, Hossain MA, Zbarna Z, Wang L.   +4 more
europepmc   +1 more source

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Blind MMSE Equalizer for Nonlinear SIMO Systems

2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), 2021
This work presents a novel minimum mean squared error (MMSE) equalizer for blind signal estimation of a nonlinear single input multiple outputs (SIMO) system. The zero and $\tau$ delay MMSE equalizer parameters are blindly estimated using the property that they belong to both the signal subspace and the kernel of a properly truncated data covariance ...
Karim Abed-Meraim, Qadri Mayyala, Azzedine Zerguine   +2 more
exaly   +3 more sources

Rake-MMSE-equalizer performance for UWB

IEEE Communications Letters, 2005
The performance of a joint rake and minimum mean square error (MMSE) equalizer receiver for high data rate ultra-wideband communications is studied in this paper. The proposed receiver combats inter-symbol interference by taking advantage of the rake and equalizer structure.
Xiaodai Dong
exaly   +2 more sources

Implementation of the Levinson algorithm for MMSE equalizer

2008 International SoC Design Conference, 2008
In wireless communication system applying the minimum mean square error (MMSE) as its equalization algorithm, the equalizer is one of the most critical part in terms of the computational complexity of the baseband signal processing. Hence more efficient algorithm implementing MMSE equalizer is needed to save power consumption and reduce the hardware ...
null Minsu Kim, null Jinyong Lee, null Younglok Kim   +2 more
exaly   +2 more sources

MMSE cyclic equalization

IEEE Military Communications Conference. Proceedings. MILCOM 98 (Cat. No.98CH36201), 2002
In digital communications, conventional linear and decision feedback equalizers are optimal for stationary signals. However, modulated signals are polycyclostationary (PCS): their correlation functions are time-polyperiodic. Cyclic equalization structures optimized by the MMSE (minimum mean square error) criterion are proposed.
G. Latouche, D. Pirez, P. Vila
openaire   +1 more source

Spread OFDM performance with MMSE equalization

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
Upper-bounds on the bit error probability of an OFDM/CDMA system in a single user context are derived for a linear minimum mean-square-error (MMSE) receiver structure. All the calculus are performed in presence of a frequency-selective Rayleigh fading channel both in a coded (convolutive forward error correcting scheme) and uncoded scenario ...
Debbah, M., Loubaton, Philippe, Courville, M. De   +2 more
openaire   +2 more sources

MMSE equalization for UMTS HSDPA

2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484), 2003
The impact of 'advanced' mobile receivers incorporating dual-port antenna diversity and chip-rate equalization is assessed in terms of UMTS Release-5 high speed downlink packet access (HSDPA) link and system throughput. The addition of a second antenna port to the RAKE receiver increased the link-level throughput under 3GPP RAN WG4 test conditions by ...
R. Love, K. Stewart, R. Bachu, A. Ghosh
openaire   +1 more source