11 citations · 13 across the 9 of their papers we have counts for
11 papers · 1 filter
Divergence-Minimizing Distribution Matching for Parallel Channels and Channels with Memory
Francesca Diedolo, Gerhard Kramer
Theory for distribution matchers (DMs) is extended to distributions with memory. The divergence-minimizing DM is shown to select the sequences with the highest target probability,…
Feedforward Phase Noise Compensation for Intersymbol Interference Channels
Alex Jäger, Gerhard Kramer
A non-iterative phase noise compensation method based on the sum-product algorithm (SPA) is applied to the outputs of intersymbol interference (ISI) channels. The outputs are model…
Polar Coded Quantization for Distributed Source Coding
Muhammed Yusuf Sener, Gerhard Kramer, Shlomo Shamai +2
Scalar quantization and probabilistic shaping are applied to the distributed source coding of Gaussian sources, with mean-square error distortion. A coding scheme with a modulo int…
Neural Network Equalizers and Successive Interference Cancellation for Bandlimited Channels with a Nonlinearity
Daniel Plabst, Tobias Prinz, Francesca Diedolo +4
Neural networks (NNs) inspired by the forward-backward algorithm (FBA) are used as equalizers for bandlimited channels with a memoryless nonlinearity. The NN-equalizers are combine…
Optimizing Bipolar Constellations for High-Rate Transmission in Short-Reach Fiber Links with Direct Detection
Thomas Wiegart, Daniel Plabst, Norbert Hanik +1
Bipolar modulation increases the achievable information rate of communication links with direct-detection receivers. This paper optimizes bipolar transmission with a modulator bias…
Successive Interference Cancellation for Optical Fiber Using Discrete Constellations
Alex Jäger, Gerhard Kramer
Successive interference cancellation is used to detect discrete modulation symbols transmitted over a 1000 km fiber-optic link. A transmitter and receiver are presented that have l…
Information Rates of Successive Interference Cancellation for Optical Fiber
Alex Jäger, Gerhard Kramer
Joint detection and decoding (JDD) achieves rates based on information theory but is too complex to implement for many channels with memory or nonlinearities. Successive interferen…
Neural Network-Based Successive Interference Cancellation for Non-Linear Bandlimited Channels
Daniel Plabst, Tobias Prinz, Francesca Diedolo +4
Reliable communication over bandlimited and non-linear channels usually requires equalization to simplify receiver processing. Equalizers that perform joint detection and decoding…
Concatenated Forward Error Correction with KP4 and Single Parity Check Codes
Diego Lentner, Emna Ben Yacoub, Stefano Calabrò +3
Concatenated forward error correction is studied using an outer KP4 Reed-Solomon code with hard-decision decoding and inner single parity check (SPC) codes with Chase/Wagner soft-d…
Successive Interference Cancellation for Bandlimited Channels with Direct Detection
Tobias Prinz, Daniel Plabst, Thomas Wiegart +3
The maximum information rates for bandlimited channels with direct detection are achieved with joint detection and decoding (JDD), but JDD is often too complex to implement. Two re…
Comparison of PAM-6 Modulations for Short-Reach Fiber-Optic Links with Intensity Modulation and Direct Detection
Tobias Prinz, Thomas Wiegart, Daniel Plabst +6
PAM-6 transmission is considered for short-reach fiber-optic links with intensity modulation and direct detection. Experiments show that probabilistically-shaped PAM-6 and a framed…