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20152018
most citedOptimal Radix-2 FFT Compatible Filters for GFDM

25 citations · 64 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SP2018★ 25 cited

Optimal Radix-2 FFT Compatible Filters for GFDM

Ahmad Nimr, Maximilian Matthe, Dan Zhang +1

For a linear waveform, a finite condition number of the corresponding modulation matrix is necessary for the waveform to convey the message without ambiguity. Based on the Zak tran…

cs.IT2017★ 16 cited

Unifying Message Passing Algorithms Under the Framework of Constrained Bethe Free Energy Minimization

Dan Zhang, Xiaohang Song, Wenjin Wang +2

Variational message passing (VMP), belief propagation (BP) and expectation propagation (EP) have found their wide applications in complex statistical signal processing problems. In…

cs.IT2015

Comparison between GFDM and VOFDM

Maximilian Matthé, Ivan Gaspar, Luciano Mendes +1

This document provides a comparison of the transmission techniques used in Generalized Frequency Division Multiplexing (GFDM) and Vector-OFDM (VOFDM). Within the document both syst…

cs.IT2015★ 12 cited

GFDM - A Framework for Virtual PHY Services in 5G Networks

Ivan Gaspar, Luciano Mendes, Maximilian Matthé +4

The next generation of wireless networks will face different challenges from new scenarios. The main contribution of this paper is to show that Generalized Frequency Division Multi…

cs.IT2015★ 11 cited

GFDM Transceiver using Precoded Data and Low-complexity Multiplication in Time Domain

Ivan Gaspar, Maximilian Matthé, Nicola Michailow +3

Future wireless communication systems are demanding a more flexible physical layer. GFDM is a block filtered multicarrier modulation scheme proposed to add multiple degrees of free…

cs.IT2015

Reduced Complexity Calculation of LMMSE Filter Coefficients for GFDM

Maximilian Matthé, Ivan Gaspar, Dan Zhang +1

A low-complexity algorithm for calculation of the LMMSE filter coefficients for GFDM in a block-fading multipath environment is derived in this letter. The simplification is based…