Zobrazeno 1 - 10
of 281
pro vyhledávání: '"Huemer, Mario"'
In multiple-input and multiple-output (MIMO) radar systems based on Doppler-division multiplexing (DDM), phase shifters are employed in the transmit paths and require calibration strategies to maintain optimal performance all along the radar system's
Externí odkaz:
http://arxiv.org/abs/2406.17320
OFDM-based Waveforms for Joint Sensing and Communications Robust to Frequency Selective IQ Imbalance
Autor:
Lang, Oliver, Hofbauer, Christian, Tockner, Moritz, Feger, Reinhard, Wagner, Thomas, Huemer, Mario
Orthogonal frequency-division multiplexing (OFDM) is a promising waveform candidate for future joint sensing and communication systems. It is well known that the OFDM waveform is vulnerable to in-phase and quadrature-phase (IQ) imbalance, which incre
Externí odkaz:
http://arxiv.org/abs/2311.09746
Pipelined analog-to-digital converters (ADCs) are key enablers in many state-of-the-art signal processing systems with high sampling rates. In addition to high sampling rates, such systems often demand a high linearity. To meet these challenging line
Externí odkaz:
http://arxiv.org/abs/2309.02901
In recent years data-driven machine learning approaches have been extensively studied to replace or enhance traditionally model-based processing in digital communication systems. In this work, we focus on equalization and propose a novel neural netwo
Externí odkaz:
http://arxiv.org/abs/2308.12591
Unique Word-orthogonal frequency division multiplexing (UW-OFDM) is known to provide various performance benefits over conventional cyclic prefix (CP) based OFDM. Most important, UW-OFDM features excellent spectral sidelobe suppression properties and
Externí odkaz:
http://arxiv.org/abs/2308.05367
Machine learning (ML) and tensor-based methods have been of significant interest for the scientific community for the last few decades. In a previous work we presented a novel tensor-based system identification framework to ease the computational bur
Externí odkaz:
http://arxiv.org/abs/2306.16428
A promising waveform candidate for future joint sensing and communication systems is orthogonal frequencydivision multiplexing (OFDM). For such systems, supporting multiple transmit antennas requires multiplexing methods for the generation of orthogo
Externí odkaz:
http://arxiv.org/abs/2303.12438
Function approximation from input and output data is one of the most investigated problems in signal processing. This problem has been tackled with various signal processing and machine learning methods. Although tensors have a rich history upon nume
Externí odkaz:
http://arxiv.org/abs/2302.07505
Data estimation is conducted with model-based estimation methods since the beginning of digital communications. However, motivated by the growing success of machine learning, current research focuses on replacing model-based data estimation methods b
Externí odkaz:
http://arxiv.org/abs/2211.06054
Publikováno v:
Computers in Biology and Medicine, vol. 150, 2022
There have been several attempts to quantify the diagnostic distortion caused by algorithms that perform low-dimensional electrocardiogram (ECG) representation. However, there is no universally accepted quantitative measure that allows the diagnostic
Externí odkaz:
http://arxiv.org/abs/2210.00218