H. Mathis

发表

On the kurtosis of digitally modulated signals with timing offsets

H. Mathis, 2001, 2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471).

Blind separation of signals with mixed kurtosis signs using threshold activation functions

Thomas P. von Hoff, Heinz Mathis, Marcel Joho, 2001, IEEE Trans. Neural Networks.

CUBETH: NANO-SATELLITE MISSION FOR ORBIT AND ATTITUDE DETERMINATION USING LOW-COST GNSS RECEIVERS

M. Rothacher, A. Ivanov, H. Mathis, 2015 .

Nonlinear functions for blind separation and equalization

H. Mathis, 2001 .

Architecture combines low- and zero-IF receivers

H. Mathis, 2019 .

Unbiased blind separation using the threshold nonlinearity

M. Joho, H. Mathis, 2001, 2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471).

BLIND SEPARATION OF MIXED-KURTOSIS SIGNALS USING AN ADAPTIVE THRESHOLD NONLINEARITY

Thomas P. von Hoff, Heinz Mathis, M. Joho, 2000 .

The Squaring-Loss Paradox

Clemens Burgi, Daniel Megnet, Heinz Mathis, 2007 .

Improved EGNOS Decoding with the List Viterbi Algorithm

H. Mathis, M. V. D. Staay, 2010 .

A SIMPLE THRESHOLD NONLINEARITY FOR BLIND SIGNAL SEPARATION

M. Joho, H. Mathis, G. Moschytz, 2007 .

Lap Detection of Ice Skaters

H. Mathis, N. Ochsenbein, Fabian Knutti, 2018 .

OVERDETERMINED BLIND SOURCE SEPARATION: USING MORE SENSORS THAN SOURCE SIGNALS IN A NOISY MIXTURE

Russell H. Lambert, Heinz Mathis, M. Joho, 2000 .

A simple threshold nonlinearity for blind separation of sub-Gaussian signals

George S. Moschytz, H. Mathis, M. Joho, 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

On the existence of universal nonlinearities for blind source separation

Scott C. Douglas, Heinz Mathis, S. Douglas, 2002, IEEE Trans. Signal Process..

A proof of the non-existence of universal nonlinearities for blind signal separation

Heinz Mathis, H. Mathis, 2001, ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483).

An FFT-based algorithm for multichannel blind deconvolution

George S. Moschytz, Heinz Mathis, Marcel Joho, 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

PERFORMANCE COMPARISON OF COMBINED BLIND/NON-BLIND SOURCE SEPARATION ALGORITHMS

Heinz Mathis, M. Joho, M. Joho, 1999 .

Vehicular Position Tracking Using LTE Signals

Fulvio Babich, Chris Marshall, Heinz Mathis, 2017, IEEE Transactions on Vehicular Technology.

Indoor positioning using LTE signals

Fulvio Babich, Chris Marshall, Heinz Mathis, 2016, 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

Positioning Using LTE Signals

Heinz Mathis, Chris Marshall, Marco Driusso, 2015 .

An easy-to-build electronic spintop for young engineers

Heinz Mathis, Nicola Ramagnano, H. Mathis, 2014, 2014 6th European Embedded Design in Education and Research Conference (EDERC).

Investigating Sparse Reconfigurable Intelligent Surfaces (SRIS) via Maximum Power Transfer Efficiency Method Based on Convex Relaxation

H. Mathis, Xingqi Zhang, Hans-Dieter Lang, 2023, 2023 17th European Conference on Antennas and Propagation (EuCAP).

Blind phase synchronization for VSB signals

Heinz Mathis, H. Mathis, 2001, IEEE Trans. Broadcast..

Bussgang blind deconvolution for impulsive signals

Scott C. Douglas, Heinz Mathis, S. Douglas, 2003, IEEE Trans. Signal Process..

Combined blind/nonblind source separation based on the natural gradient

G.S. Moschytz, H. Mathis, M. Joho, 2001, IEEE Signal Processing Letters.

Indoor Positioning Using Frequency Translators

Andreas Thiel, Etienne Favey, Daniel Megnet, 2005 .