Monika Pinchas - researchr alias

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Viewing Publication 1 - 24 from 24

2023

Performance of the Modified MSE Upper Bounds Under Packet Loss and the gfGn Surroundings for the PTP ScenarioYehonatan Avraham, Monika Pinchas. cecnet 2024: 605-614 [doi]

2022

The Residual ISI for Which the Convolutional Noise Probability Density Function Associated with the Blind Adaptive Deconvolution Problem Turns Approximately GaussianMonika Pinchas. entropy, 24(7):989, 2022. [doi]

2021

Coherent Integration Loss Due to Nonstationary Phase Noise in High-Resolution Millimeter-Wave RadarsChagai Levy, Monika Pinchas, Yosef Pinhasi. remotesensing, 13(9):1755, 2021. [doi]

Improved Approach for the Maximum Entropy Deconvolution ProblemShay Shlisel, Monika Pinchas. entropy, 23(5):547, 2021. [doi]

A Novel Dual Mode Decision Directed Multimodulus Algorithm (DM-DD-MMA) for Blind Adaptive EqualizationSagi Tadmor, Sapir Carmi, Monika Pinchas. cecnet 2021: 420-430 [doi]

2020

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 TechniquesHadar Goldberg, Monika Pinchas. entropy, 22(6):708, 2020. [doi]

2019

A New Efficient Expression for the Conditional Expectation of the Blind Adaptive Deconvolution Problem Valid for the Entire Range ofSignal-to-Noise RatioMonika Pinchas. entropy, 21(1):72, 2019. [doi]

2018

Cooperative Multi PTP Slaves for Timing Improvement in an fGn EnvironmentMonika Pinchas. icl, 22(7):1366-1369, 2018. [doi]

2016

Constant Envelope Phase Modulation Inspired by Orthogonal WaveformsYael Balal, Monika Pinchas, Yosef Pinhasi. icl, 20(11):2169-2172, 2016. [doi]

New Lagrange Multipliers for the Blind Adaptive Deconvolution Problem Applicable for the Noisy CaseMonika Pinchas. entropy, 18(3):65, 2016. [doi]

2015

A Maximum Entropy inspired model for the convolutional noise PDFAdiel Freiman, Monika Pinchas. dsp, 39:35-49, 2015. [doi]

A Closed-form Approximated Expression for the Residual ISI Obtained by Blind Adaptive Equalizers Applicable for the Non-Square QAM Constellation Input and Noisy CaseRoy Shevach, Monika Pinchas. peccs 2015: 217-223 [doi]

2013

Symbol Error Rate as a Function of the Residual ISI Obtained by Blind Adaptive EqualizersMonika Pinchas. peccs 2013: 156-160

A novel expression for the achievable MSE performance obtained by blind adaptive equalizersMonika Pinchas. sivp, 7(1):67-74, 2013. [doi]

2012

What are the analytical conditions for which a blind equalizer will loose the convergence state?Monika Pinchas. sivp, 6(2):325-340, 2012. [doi]

2011

An Approximated Expression for the Convergence Time of Adaptive Blind EqualizersMonika Pinchas. icinco 2011: 411-414

A MSE optimized polynomial equalizer for 16QAM and 64QAM constellationMonika Pinchas. sivp, 5(1):29-37, 2011. [doi]

2010

A new closed approximated formed expression for the achievable residual ISI obtained by adaptive blind equalizers for the noisy caseMonika Pinchas. wcnis 2010: 26-30 [doi]

A closed approximated formed expression for the achievable residual intersymbol interference obtained by blind equalizersMonika Pinchas. sigpro, 90(6):1940-1962, 2010. [doi]

Analytic threshold calculation of frequency estimation for OFDM communicationMonika Pinchas, Ben-Zion Bobrovsky. sivp, 4(2):187-195, 2010. [doi]

2009

A New Deconvolution Method based on Maximum Entropy and Quasi-moment Truncation TechniqueMonika Pinchas, Ben-Zion Bobrovsky. icinco 2009: 210-213

2007

A Novel HOS Approach for Blind Channel EqualizationMonika Pinchas, Ben-Zion Bobrovsky. TWC, 6(3):875-886, 2007. [doi]

2006

A Maximum Entropy approach for blind deconvolutionMonika Pinchas, Ben-Zion Bobrovsky. sigpro, 86(10):2913-2931, 2006. [doi]

2002

An analytical expression for the acquisition time and optimal designing graph for a frequency detector of OFDM systemsMonika Pinchas, Jaime Hasson, Ben-Zion Bobrovsky. ett, 13(6):579-582, 2002. [doi]

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