scispace - formally typeset
J

Josef A. Nossek

Researcher at Technische Universität München

Publications -  625
Citations -  11238

Josef A. Nossek is an academic researcher from Technische Universität München. The author has contributed to research in topics: MIMO & Communication channel. The author has an hindex of 48, co-authored 623 publications receiving 10377 citations. Previous affiliations of Josef A. Nossek include NTT DoCoMo & Ludwig Maximilian University of Munich.

Papers
More filters
Journal ArticleDOI

Linear transmit processing in MIMO communications systems

M. Joham, +2 more
- 01 Aug 2005 - 
TL;DR: The transmit filters are based on similar optimizations as the respective receive filters with an additional constraint for the transmit power and has similar convergence properties as the receive Wiener filter, i.e., it converges to the matched filter and the zero-forcing filter for low and high signal-to-noise ratio, respectively.
Journal ArticleDOI

Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden

Martin Haardt, +1 more
- 01 May 1995 - 
TL;DR: The authors present a simple and efficient method to constrain the estimated phase factors to the unit circle, if centro-symmetric array configurations are used and incorporate forward-backward averaging, leading to an improved performance compared to the standard ESPRIT algorithm.
Journal ArticleDOI

Bifurcation and chaos in cellular neural networks

F. Zou, +1 more
- 01 Mar 1993 - 
TL;DR: In this article, the authors investigated Hopf-like bifurcation phenomena and chaotic behavior in cellular neural networks and found that the chaotic attractor found here has properties similar to the famous double scroll attractor.
Journal ArticleDOI

Discrete-time cellular neural networks

Hubert Harrer, +1 more
- 01 Sep 1992 - 
TL;DR: Convergence is proved for a large class of templates and applications are given for the following image-processing tasks: linear thresholding, connected component detection, hole filling, concentric contouring, increasing and decreasing objects step by step, searching for objects with minimal distance, and oscillation.
Journal ArticleDOI

Simultaneous Schur decomposition of several nonsymmetric matrices to achieve automatic pairing in multidimensional harmonic retrieval problems

Martin Haardt, +1 more
- 01 Jan 1998 - 
TL;DR: A new Jacobi-type method to calculate a simultaneous Schur decomposition (SSD) of several real-valued, nonsymmetric matrices by minimizing an appropriate cost function, which achieves automatic pairing of the estimated R-dimensional modes via a closed-form procedure that neither requires any search nor any other heuristic pairing strategy.