works on

From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

eess.SP2026

Optimum and Adaptive Complex-Valued Bilinear Filters

Bernhard Plaimer, Matthias Wagner, Oliver Lang +1

The paper extends real-valued bilinear adaptive filters to the complex domain and proposes several new complex-valued bilinear filters, evaluating their computational cost and perf…

eess.SP2026

Detection of weak signals under arbitrary noise distributions

J. Zschetzsche, M. Weimar, O. Lang +7

Detecting weak signals buried in complex, non-Gaussian noise is a fundamental challenge in science and engineering, with applications ranging from radar systems and communications…

eess.SP2025

Bi-Linear Homogeneity Enforced Calibration for Pipelined ADCs

Matthias Wagner, Oliver Lang, Esmaeil Kavousi Ghafi +3

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…

eess.SP2025

Automotive Radar Online Channel Imbalance Estimation via NLMS

Esmaeil Kavousi Ghafi, Oliver Lang, Matthias Wagner +2

Automotive radars are one of the essential enablers of advanced driver assistance systems (ADASs). Continuous monitoring of the functional safety and reliability of automotive rada…

eess.SP2025

Estimators and Performance Bounds for Short Periodic Pulses

Sebastian Schertler, Oliver Lang, Jonas Lindenberger +5

In many industrial applications, signals with short periodic pulses, caused by repeated steps in the manufacturing process, are present, and their fundamental frequency or period m…

eess.SP2025

Tx and Rx IQ Imbalance Compensation for JCAS in 5G NR

Andreas Meingassner, Oliver Lang, Moritz Tockner +5

Beside traditional communications, joint communications and sensing (JCAS) is gaining increasing relevance as a key enabler for next-generation wireless systems. The ability to acc…