Blind I/Q imbalance and nonlinear ISI mitigation in Nyquist-SCM direct detection system with cascaded widely linear and Volterra equalizer
Sign Up to like & getrecommendations! Published in 2018 at "Optics Communications"
DOI: 10.1016/j.optcom.2017.09.045
Abstract: Abstract Nyquist-SCM signal after fiber transmission, direct detection (DD), and analog down-conversion suffers from linear ISI, nonlinear ISI, and I/Q imbalance, simultaneously. Theoretical analysis based on widely linear (WL) and Volterra series is given to… read more here.
Keywords: widely linear; volterra equalizer; nonlinear isi; equalizer ... See more keywords
Widely Linear Filtering for Multiimpairment Compensation in Dispersion Managed mQAM Modulated Optical Systems
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DOI: 10.1109/access.2022.3188633
Abstract: We propose a blind joint equalization algorithm for M-QAM signals based on a widely linear filtering approach. The proposed scheme jointly compensates for receiver IQ imbalance, receiver IQ skew, polarization mixing, carrier recovery, followed by… read more here.
Keywords: linear filtering; imbalance; compensation; tex math ... See more keywords
Maximum Total Improper Complex Correntropy Algorithm for Widely Linear Adaptive Filtering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3221441
Abstract: The maximum total complex correntropy (MTCC) algorithm improves the performance of adaptive filtering under the error in variable (EIV) model by integrating both input and output noise information into the total complex correntropy. However, the… read more here.
Keywords: algorithm; complex correntropy; widely linear; maximum total ... See more keywords
Complementary Cost Functions for Complex and Quaternion Widely Linear Estimation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2931426
Abstract: Widely linear (WL) models have been demonstrated to be superior to conventional strictly linear models for the estimation of noncircular complex and quaternion signals. Existing studies on their performance bounds focus on the analysis of… read more here.
Keywords: complex quaternion; cost functions; quaternion; widely linear ... See more keywords
Identification of Widely Linear Systems Using Data-Dependent Superimposed Training
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3212959
Abstract: In this correspondence, we address the identification of widely linear (WL) systems using data-dependent superimposed training (DDST). The analysis shows that the nonlinear nature of WL systems can be exploited to decouple the finite impulse… read more here.
Keywords: data dependent; identification widely; using data; widely linear ... See more keywords
Quaternion Extreme Learning Machine Based on Real Augmented Representation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3246396
Abstract: Widely linear modeling is an important quaternion signal processing technique for capturing the complete second-order statistics of quaternion signals. However, the algorithms based on widely linear modeling are computationally expensive due to the augmented variables… read more here.
Keywords: quaternion; widely linear; quaternion extreme; real augmented ... See more keywords
Widely linear denoising of multicomponent seismic data
Sign Up to like & getrecommendations! Published in 2019 at "Geophysical Prospecting"
DOI: 10.1111/1365-2478.12850
Abstract: ABSTRACT Seismic data processing is a challenging task, especially when dealing with vector‐valued datasets. These data are characterized by correlated components, where different levels of uncorrelated random noise corrupt each one of the components. Mitigating… read more here.
Keywords: widely linear; space deconvolution; frequency space; seismic data ... See more keywords