Benjamin Knoop

发表

Compression and reconstruction methodology for neural signals based on patch ordering inpainting for brain monitoring

Steffen Paul, Dagmar Peters-Drolshagen, Sebastian Schmale, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Activity and Channel Estimation in Multi-User Wireless Sensor Networks

Dagmar Peters-Drolshagen, Steffen Paul, Sebastian Schmale, 2016, WSA.

Joint compression of neural action potentials and local field potentials

Dagmar Peters-Drolshagen, Steffen Paul, Sebastian Schmale, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Multi-User Frame Synchronization in Wireless Networks with Sporadic User Activity

Steffen Paul, Dagmar Peters-Drolshagen, Benjamin Knoop, 2017, WSA.

Hardware-Efficient QR-Decomposition Using Bivariate Numeric Function Approximation

Steffen Paul, Jochen Rust, Pascal Seidel, 2017, IEEE Transactions on Circuits and Systems I: Regular Papers.

Hardware-accelerated reconstruction of compressed neural signals based on inpainting

Steffen Paul, Dagmar Peters-Drolshagen, Sebastian Schmale, 2016, 2016 MIXDES - 23rd International Conference Mixed Design of Integrated Circuits and Systems.

Design of a multi-core hardware architecture for consensus-based MIMO detection algorithms

Konstantin Tscherkaschin, Steffen Paul, Jochen Rust, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

High-performance bivariate numeric function approximation for hardware-efficient QR-decomposition

Steffen Paul, Jochen Rust, Benjamin Knoop, 2016, 2016 IEEE International Conference on Electronics, Circuits and Systems (ICECS).

Efficient and fast SOP-based inpainting for neurological signals in resource limited systems

Steffen Paul, Dagmar Peters-Drolshagen, Sebastian Schmale, 2016, 2016 IEEE International Conference on Electronics, Circuits and Systems (ICECS).

Structure reconstruction of correlated neural signals based on inpainting for brain monitoring

Steffen Paul, Dagmar Peters-Drolshagen, Sebastian Schmale, 2015, 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS).

ADC Topology Based on Compressed Sensing for Low Power Brain Monitoring

Steffen Paul, Dagmar Peters-Drolshagen, Sebastian Schmale, 2015 .

Fast digital design space exploration with high-level synthesis: A case study with approximate conjugate gradient pursuit

Steffen Paul, Dagmar Peters-Drolshagen, Sebastian Schmale, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Rapid digital architecture design of orthogonal matching pursuit

Steffen Paul, Dagmar Peters-Drolshagen, Sebastian Schmale, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Exploiting correlation in neural signals for data compression

Steffen Paul, Dagmar Peters-Drolshagen, Sebastian Schmale, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Compressed sensing K-best detection for sparse multi-user communications

Carsten Bockelmann, Armin Dekorsy, Steffen Paul, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Sparsity-Aware Successive Interference Cancellation with Practical Constraints

Carsten Bockelmann, Dirk Wübben, Armin Dekorsy, 2013, WSA.

High throughput architecture for inpainting-based recovery of correlated neural signals

Steffen Paul, Sebastian Schmale, Jochen Rust, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Random Subsampling based Signal Detection for Spatial Correlated Massive MIMO Channels

Steffen Paul, Sebastian Schmale, Jochen Rust, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Low-complexity and approximative sphere decoding of sparse signals

Steffen Paul, Till Wiegand, Benjamin Knoop, 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Parametrisable digital design of a sphere decoder with high-level synthesis

Dagmar Peters-Drolshagen, Steffen Paul, Benjamin Knoop, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).