Monika Pinchas

25 papers Journal 17Unranked 8
YearRankTypeTitle / Venue / Authors
2024 — conf
A Robust Algorithm against Delay Cyber-Attacks in PTP applicable for the fGn Environment.
SSPS
Yehonatan Avraham, Monika Pinchas
2023 — conf
Performance of the Modified MSE Upper Bounds Under Packet Loss and the gfGn Surroundings for the PTP Scenario.
CECNet
Yehonatan Avraham, Monika Pinchas
2022 J jnl
The Residual ISI for Which the Convolutional Noise Probability Density Function Associated with the Blind Adaptive Deconvolution Problem Turns Approximately Gaussian.
Entropy
Monika Pinchas
2021 — conf
A Novel Dual Mode Decision Directed Multimodulus Algorithm (DM-DD-MMA) for Blind Adaptive Equalization.
CECNet
Sagi Tadmor, Sapir Carmi, Monika Pinchas
2021 J jnl
Coherent Integration Loss Due to Nonstationary Phase Noise in High-Resolution Millimeter-Wave Radars.
Remote. Sens.
Chagai Levy, Monika Pinchas, Yosef Pinhasi
2021 J jnl
Improved Approach for the Maximum Entropy Deconvolution Problem.
Entropy
Shay Shlisel, Monika Pinchas
2020 J jnl
A Novel Technique for Achieving the Approximated ISI at the Receiver for a 16QAM Signal Sent via a FIR Channel Based Only on the Received Information and Statistical Techniques.
Entropy
Hadar Goldberg, Monika Pinchas
2019 J jnl
A New Efficient Expression for the Conditional Expectation of the Blind Adaptive Deconvolution Problem Valid for the Entire Range ofSignal-to-Noise Ratio.
Entropy
Monika Pinchas
2018 J jnl
Cooperative Multi PTP Slaves for Timing Improvement in an fGn Environment.
IEEE Commun. Lett.
Monika Pinchas
2016 J jnl
Constant Envelope Phase Modulation Inspired by Orthogonal Waveforms.
IEEE Commun. Lett.
Yael Balal, Monika Pinchas, Yosef Pinhasi
2016 J jnl
New Lagrange Multipliers for the Blind Adaptive Deconvolution Problem Applicable for the Noisy Case.
Entropy
Monika Pinchas
2015 — conf
A Closed-form Approximated Expression for the Residual ISI Obtained by Blind Adaptive Equalizers Applicable for the Non-Square QAM Constellation Input and Noisy Case.
PECCS
Roy Shevach, Monika Pinchas
2015 J jnl
A Maximum Entropy inspired model for the convolutional noise PDF.
Digit. Signal Process.
Adiel Freiman, Monika Pinchas
2013 J jnl
A novel expression for the achievable MSE performance obtained by blind adaptive equalizers.
Signal Image Video Process.
Monika Pinchas
2013 — conf
Symbol Error Rate as a Function of the Residual ISI Obtained by Blind Adaptive Equalizers.
PECCS
Monika Pinchas
2012 J jnl
What are the analytical conditions for which a blind equalizer will loose the convergence state?
Signal Image Video Process.
Monika Pinchas
2011 J jnl
A MSE optimized polynomial equalizer for 16QAM and 64QAM constellation.
Signal Image Video Process.
Monika Pinchas
2011 — conf
An Approximated Expression for the Convergence Time of Adaptive Blind Equalizers.
ICINCO (1)
Monika Pinchas
2010 J jnl
A closed approximated formed expression for the achievable residual intersymbol interference obtained by blind equalizers.
Signal Process.
Monika Pinchas
2010 — conf
A new closed approximated formed expression for the achievable residual ISI obtained by adaptive blind equalizers for the noisy case.
WCNIS
Monika Pinchas
2010 J jnl
Analytic threshold calculation of frequency estimation for OFDM communication.
Signal Image Video Process.
Monika Pinchas, Ben-Zion Bobrovsky
2009 — conf
A New Deconvolution Method based on Maximum Entropy and Quasi-moment Truncation Technique.
ICINCO-SPSMC
Monika Pinchas, Ben-Zion Bobrovsky
2007 J jnl
A Novel HOS Approach for Blind Channel Equalization.
IEEE Trans. Wirel. Commun.
Monika Pinchas, Ben-Zion Bobrovsky
2006 J jnl
A Maximum Entropy approach for blind deconvolution.
Signal Process.
Monika Pinchas, Ben-Zion Bobrovsky
2002 J jnl
An analytical expression for the acquisition time and optimal designing graph for a frequency detector of OFDM systems.
Eur. Trans. Telecommun.
Monika Pinchas, Jaime Hasson, Ben-Zion Bobrovsky