Results 61 to 70 of about 259 (91)

Low-Complexity Adaptive Chromatic Dispersion Estimation Scheme Using Machine Learning for Coherent Long-Reach Passive Optical Networks

IEEE Photonics Journal, 2019
In the coherent long-reach passive optical networks (LRPON), it is crucial to propose cost-effective digital signal processing (DSP) technologies to reduce the overall complexity and power consumption.
Jin Li, Danshi Wang, Min Zhang
doaj   +1 more source

All-Optical Generation of Two IEEE802.11n Signals for 2 $\times$ 2 MIMO-RoF via MRR System

IEEE Photonics Journal, 2014
A radio-over-fiber system capable of very spectrally efficient data transmission and based on multiple-input multiple-output (MIMO) and orthogonal frequency-division multiplexing (OFDM) is presented here.
I. S. Amiri, S. E. Alavi, N. Fisal, A. S. M. Supa'at, H. Ahmad   +4 more
doaj   +1 more source

Optimized Multiplicative Pre-Distortion PAPR Reduction Scheme for OTFS Signals

IEEE Access
We present an iterative peak-to-average power ratio (PAPR) reduction scheme with multiplicative pre-distortion vectors for orthogonal time frequency space (OTFS) systems by making a compromise between the PAPR reduction and the bit error rate (BER ...
Feiyang Liu, Jiayang Zhao, Guangliang Ren   +2 more
doaj   +1 more source

Poster Session 2

Pregnancy, Volume 2, Issue S1, January 2026.
wiley   +1 more source

Machine learning-based methods for piecewise digital predistortion in mmW 5G NR systems

EURASIP Journal on Advances in Signal Processing
Piecewise linearization techniques require dividing the signal into multiple pieces each linearized individually. Machine learning (ML) is one of the useful tools to perform the automatic division of these pieces.
S. S. Krishna Chaitanya Bulusu, Nuutti Tervo, Praneeth Susarla, Olli Silvén, Mikko. J. Sillanpää, Marko E. Leinonen, Markku Juntti, Aarno Pärssinen   +7 more
doaj   +1 more source

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SLIC EVM — Error vector magnitude without demodulation

2017 89th ARFTG Microwave Measurement Conference (ARFTG), 2017
We present a method for measuring a communication signal's inband error caused by a non-ideal device under test (DUT). In contrast to the established error vector magnitude (EVM), we do not demodulate the data symbols. Rather, we subtract linearly correlated (SLIC) parts from the DUT output and analyze the power spectral density of the remaining error ...
Karl Freiberger, Harald Enzinger, Christian Vogel   +2 more
openaire   +3 more sources

Error Vector Magnitude (EVM)-Based Constellation Combiner for Cooperative Relay Network

IEEE Communications Letters, 2016
This letter proposes a novel diversity combining technique based on error vector magnitude (EVM) for a cooperative relay network. EVM is the vector difference for a given time between the transmitted signal and the received signal. At the destination, the proposed combiner combines the minimum EVM constellations obtained from the received links ...
Mugelan Ramakrishnan Kuppusamy, Syed Moinuddin Bokhari, Marcharla Anjaneyulu Bhagyaveni   +2 more
openaire   +3 more sources

The Error Vector Magnitude (EVM) performance in LTE Downlink

2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2019
The Error Vector Magnitude (EVM) is a useful magnitude in the development and design process to indicate the entire signal quality. The post-equalized signal has better performance than pre-equalized signal due to its robustness against noise during channel equalization processing under ideal and interpolation channel estimation.
Hsuan-Fu Wang, Chi-Pan Hwang, Mu-Song Chen   +2 more
openaire   +3 more sources

Measurement, Analysis, and Understanding of the Error Vector Magnitude (EVM) of Navigation Signals

IETE Journal of Research, 2018
The Navigation payload onboard the navigation satellite mainly contains the data transmitters used to broadcast the navigation messages at L band and S band carriers towards the user's community.
Md. Tosicul Wara, Raghavendra M. R., Kodandaram M., Bhuvaneshwari M. S.   +3 more
openaire   +3 more sources

Computer simulation and measurement of error vector magnitude (EVM) and adjacent-channel power ratio (ACPR) for digital wireless communication RF power amplifiers

Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324), 1999
Computer simulation and measurement of the error vector magnitude (EVM) and the adjacent channel power ratio (ACPR) of a 2.4 GHz MMIC power amplifier (PA) for digital wireless communications is presented. A computer simulation based on the /spl pi//4-DQPSK modulation with square-root raised cosine (SRRC) filter is established for this study.
null Fu-Ling Lin, null Shin-Fu Chen, null Liang-Fang Chen, null Huey-Ru Chuang   +3 more
openaire   +3 more sources