sebastian cammerer

Author Info

Name	Affiliation	Papers
SEBASTIAN CAMMERER	Institute of Telecommunications, University of Stuttgart, Stuttgart, Germany	35
Collaborators	Citations	PageRank
45	157	16.76
Referers	Referees	References
455	259	159

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100455

Publications (35 rows)

Collaborators (45 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Automorphism Ensemble Decoding of Reed–Muller Codes	2	0.39	2021
On The Automorphism Group Of Polar Codes	0	0.34	2021
Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications	2	0.45	2021
Iterative Reed–Muller Decoding	0	0.34	2021
Serial vs. Parallel Turbo-Autoencoders and Accelerated Training for Learned Channel Codes	0	0.34	2021
CRC-Aided Belief Propagation List Decoding of Polar Codes	0	0.34	2020
Iterative Detection and Decoding of Finite-Length Polar Codes in Gaussian Multiple Access Channels	0	0.34	2020
Trainable Communication Systems: Concepts and Prototype	8	0.50	2020
Extended Abstract: Deep Learning of the Physical Layer for BICM Systems	0	0.34	2020
Reducing Polar Decoding Latency by Neural Network-Based On-the-Fly Decoder Selection	0	0.34	2020
Wgan-Based Autoencoder Training Over-The-Air	0	0.34	2020
Decoder-tailored Polar Code Design Using the Genetic Algorithm.	6	0.47	2019
Towards Practical Fdd Massive Mimo: Csi Extrapolation Driven By Deep Learning And Actual Channel Measurements	0	0.34	2019
Spatially Coupled LDPC Codes and the Multiple Access Channel.	0	0.34	2019
On Recurrent Neural Networks For Sequence-Based Processing In Communications	0	0.34	2019
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction.	0	0.34	2019
Near-Capacity Detection and Decoding: Code Design for Dynamic User Loads in Gaussian Multiple Access Channels	0	0.34	2019
Genetic Algorithm-based Polar Code Construction for the AWGN Channel.	0	0.34	2019
Decoder-in-the-Loop: Genetic Optimization- Based LDPC Code Design.	0	0.34	2019
Deep Learning-Based Polar Code Design	0	0.34	2019
Decoder-in-the-Loop: Genetic Optimization-based LDPC Code Design.	0	0.34	2019
Near Gaussian Multiple Access Channel Capacity Detection and Decoding	3	0.38	2018
Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes.	2	0.37	2018
Deep Learning Based Communication Over the Air.	24	1.08	2018
Sparse Graphs for Belief Propagation Decoding of Polar Codes	3	0.39	2018
Avoiding Burst-like Error Patterns in Windowed Decoding of Spatially Coupled LDPC Codes	2	0.39	2018
Belief Propagation List Decoding of Polar Codes.	14	0.67	2018
Mitigating clipping effects on error floors under belief propagation decoding of polar codes	3	0.45	2017
Wave-like decoding of tail-biting spatially coupled LDPC codes through iterative demapping	1	0.36	2017
Deep Learning-Based Communication Over the Air.	46	1.81	2017
On deep learning-based channel decoding	28	1.41	2017
Scaling Deep Learning-based Decoding of Polar Codes via Partitioning.	9	0.80	2017
Flexible Length Polar Codes through Graph Based Augmentation	0	0.34	2016
Triggering wave-like convergence of tail-biting spatially coupled LDPC codes	2	0.38	2016
Triggering Wave-Like Convergence of Tail-biting Spatially Coupled LDPC Codes: Single and Dual-Channel Setup	2	0.38	2015