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Philipp Mohr, M.Sc.
Wissenschaftlicher Mitarbeiter
E-Mail
:
philipp.mohr@tuhh.de
Telefon
: +49 (0) 40 42878 2745
Gebäude N (ES 40) / Raum 2006
Publications
2024
Memory-Assisted Quantized LDPC Decoding
Mohr, Philipp; Bauch, Gerhard
arXiv: 2408.07437v1 (2024-08-14)
Open Access
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Verlags DOI
Region-Specific Coarse Quantization with Check Node Awareness in 5G-LDPC Decoding
Mohr, Philipp; Bauch, Gerhard
arXiv: 2406.14233v2 (2024-06-20)
Open Access
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Verlags DOI
2023
Implementation-Efficient Finite Alphabet Decoding of Polar Codes
Mohr, Philipp; Shah, Aizaz; Bauch, Gerhard
IEEE Global Communications Conference (GLOBECOM 2023)
Verlags DOI
2022
A Variable Node Design with Check Node Aware Quantization Leveraging 2-Bit LDPC Decoding
Mohr, Philipp; Bauch, Gerhard
IEEE Global Communications Conference (GLOBECOM 2022)
Verlags DOI
Uniform vs. Non-Uniform Coarse Quantization in Mutual Information Maximizing LDPC Decoding
Mohr, Philipp; Bauch, Gerhard
IEEE Global Communications Conference (GLOBECOM 2022)
Verlags DOI
Low-resolution horizontal and vertical layered mutual information maximizing LDPC decoding
Mohr, Philipp; Bauch, Gerhard
56th Asilomar Conference on Signals, Systems and Computers (ACSSC 2022)
Open Access
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Verlags DOI
Forney Observation Models for Faster-Than-Nyquist Signaling on Nonlinear Satellite Links
Mohr, Philipp; Grünheid, Rainer; Bauch, Gerhard
96th IEEE Vehicular Technology Conference (VTC Fall 2022)
Verlags DOI
An FPGA Implementation of Two-Input LUT Based Information Bottleneck LDPC Decoders
Tseng, Bo Yu; Kurkoski, Brian M.; Mohr, Philipp; Bauch, Gerhard
11th International Conference on Modern Circuits and Systems Technologies (MOCAST 2022)
Verlags DOI
Information Bottleneck Receivers for ISI Channels
Mohr, Philipp; Stark, Maximilian; Bauch, Gerhard
IEEE International Conference on Communications (ICC 2022)
Verlags DOI
2021
Coarsely Quantized Layered Decoding Using the Information Bottleneck Method
Mohr, Philipp; Bauch, Gerhard; Yu, Fan; Li, Mo
IEEE International Conference on Communications (ICC 2021)
Verlags DOI