A lecture course series: From concept engineering to implementation of signal processing algorithms with FPGAs. - Mario Huemer; Michael Lunglmayr; Markus Pfaff (EUSIPCO, 2005)

Optimized Mapping Schemes for LDPC Coded Higher Order Modulated QAM Transmission. - Michael Lunglmayr; Jens Berkmann (EUROCAST, 2007)

Feasibility study of particle filters for mobile station receivers. - Michael Lunglmayr; Martin Krueger; Mario Huemer (IET Circuits Devices Syst., 2008)

Simulation Based Optimization of Vertex Packing Decoding Algorithms. - Michael Lunglmayr; Jens Berkmann; Mario Huemer (EUROCAST, 2009)

Vertex Packing Decoding. - Michael Lunglmayr; Jens Berkmann; Mario Huemer (ICC, 2009)

Reliability-based improvement strategies for LDPC decoders. - Michael Lunglmayr (2010)

Simulation Based Optimization of Signal Processing for RFID. - Michael Lunglmayr; Mario Huemer (EUROCAST (1), 2011)

Optimized Filter Design in LTE Systems Using Nonlinear Optimization. - Thomas Schlechter; Michael Lunglmayr (EW, 2011)

Reducing the gap between linear biased classical and linear Bayesian estimation. - Lisha Fu-Mueller; Michael Lunglmayr; Mario Huemer (SSP, 2012)

Computer-Aided Optimization for Predictive Battery State-of-Charge Determination. - Christoph Unterrieder; Michael Lunglmayr; Stefano Marsili; Mario Huemer (EUROCAST (1), 2013)

Approximate least squares. - Michael Lunglmayr; Christoph Unterrieder; Mario Huemer (ICASSP, 2014)

Battery state-of-charge estimation prototype using EMF voltage prediction. - Christoph Unterrieder; Michael Lunglmayr; Stefano Marsili; Mario Huemer (ISCAS, 2014)

Parameter Optimization for Step-Adaptive Approximate Least Squares. - Michael Lunglmayr; Mario Huemer (EUROCAST, 2015)

Step-adaptive approximate least squares. - Michael Lunglmayr; Christoph Unterrieder; Mario Huemer (EUSIPCO, 2015)

Efficient linearized Bregman iteration for sparse adaptive filters and Kaczmarz solvers. - Michael Lunglmayr; Mario Huemer (SAM, 2016)

Digital compensation of DC-DC converter voltage ripple for Switched-Capacitor Power Amplifiers. - Stefan Trampitsch; Daniel Gruber; Michael Lunglmayr; Edwin Thaller; Mario Huemer (NEWCAS, 2016)

Parameter Estimation under Gaussian Model Uncertainties by Iterative Covariance Approximation. - Oliver Lang; Michael Lunglmayr; Mario Huemer (CoRR, 2016)

Microkicking for fast convergence of sparse kaczmarz and sparse LMS. - Michael Lunglmayr; Mario Huemer (CAMSAP, 2017)

Global Decision Making for Wavelet Based ECG Segmentation. - Carl Böck; Michael Lunglmayr; Christoph Mahringer; Christoph Mörtl; Jens Meier; Mario Huemer (EUROCAST (2), 2017)

Investigations on Sparse System Identification with l_0 l 0 -LMS, Zero-Attracting LMS and Linearized Bregman Iterations. - Andreas Gebhard; Michael Lunglmayr; Mario Huemer (EUROCAST (2), 2017)

Scaled linearized Bregman iterations for fixed point implementation. - Michael Lunglmayr; Bernhard Hiptmair; Mario Huemer (ISCAS, 2017)

Sparsity-Enabled Step Width Adaption For Linearized Bregman Based Algorithms. - Michael Lunglmayr; Mario Huemer (SSP, 2018)

Sparse Cyclic Coordinate Descent for Efficient Frequency Estimation. - Yuneisy E. Garcia Guzman; Michael Lunglmayr (CAMSAP, 2019)

Tradeoff Analysis of Discrepancy-Based Adaptive Thresholding Approach. - Michael Lunglmayr; Saeed Mian Qaisar; Bernhard Alois Moser (EBCCSP, 2019)

An Event-Driven Approach for Time-Domain Recognition of Spoken English Letters. - Saeed Mian Qaisar; S. Laskar; Michael Lunglmayr; Bernhard Alois Moser; R. Abdulbaqi; R. Banafia (EBCCSP, 2019)

A Gradient Ascent Approach for Multiple Frequency Estimation. - Yuneisy E. Garcia Guzman; Michael Lunglmayr; Mario Huemer (EUROCAST (2), 2019)

Counter-Based vs. Shift-Register-Based Signal Processing in Stochastic Computing. - Werner Haselmayr; Daniel Wiesinger; Michael Lunglmayr (EUROCAST (2), 2019)

Implementing Sparse Estimation: Cyclic Coordinate Descent vs Linearized Bregman Iterations. - Yuneisy E. Garcia Guzman; Michael Lunglmayr (ISPA, 2019)

Modeling Non-Idealities of Capacitive RF-DACs with a Switched State-Space Model. - Stefan Trampitsch; Michael Kalcher; Daniel Gruber; Michael Lunglmayr; Mario Huemer (ISCAS, 2019)

Linearized Bregman Iterations for Automatic Optical Fiber Fault Analysis. - Michael Lunglmayr; Gustavo C. Amaral 001 (IEEE Trans. Instrum. Meas., 2019)

On Quasi-Isometry of Threshold-Based Sampling. - Bernhard Alois Moser; Michael Lunglmayr (IEEE Trans. Signal Process., 2019)

Root tracking using time-varying autoregressive moving average models and sigma-point Kalman filters. - Kyriaki Kostoglou; Michael Lunglmayr (EURASIP J. Adv. Signal Process., 2020)

FPGA-embedded Linearized Bregman Iteration algorithm for trend break detection. - Felipe Calliari; Gustavo C. do Amaral 001; Michael Lunglmayr (EURASIP J. Wirel. Commun. Netw., 2020)

Design and Analysis of Efficient Maximum/Minimum Circuits for Stochastic Computing. - Michael Lunglmayr; Daniel Wiesinger; Werner Haselmayr (IEEE Trans. Computers, 2020)

High-Accuracy and Fault Tolerant Stochastic Inner Product Design. - Werner Haselmayr; Daniel Wiesinger; Michael Lunglmayr (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Null Space Projection Enhanced LMS Filters. - Michael Lunglmayr; Thomas Paireder; Mario Huemer (IEEE Trans. Circuits Syst., 2020)

A Stochastic Computing Architecture for Iterative Estimation. - Michael Lunglmayr; Daniel Wiesinger; Werner Haselmayr (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis. - Michael Lunglmayr; Günther Lindorfer; Bernhard Moser 001 (DEXA Workshops, 2021)

Smooth Step Detection. - Michael Lunglmayr; Yuneisy E. Garcia Guzman; Felipe Calliari; Gustavo Castro do Amaral (EUROCAST, 2022)

Efficient Majority Voting in Digital Hardware. - Stefan Baumgartner; Mario Huemer; Michael Lunglmayr (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Redistribution Networks for Resampling. - Michael Lunglmayr; Víctor Elvira (CAMSAP, 2023)

Quantization in Spiking Neural Networks. - Bernhard Alois Moser; Michael Lunglmayr (CoRR, 2023)

Near Range, Leakage Aware Object Localization Based on 5G NR-Compliant JCAS. - Andreas Meingassner; Oliver Lang; Moritz Tockner; Michael Hofstadler; Günther Lindorfer; Michael Lunglmayr; Mario Huemer (IEEECONF, 2024)

Integrate-and-Fire from a Mathematical and Signal Processing Perspective. - Bernhard Alois Moser; Anna Werzi; Michael Lunglmayr (IEEECONF, 2024)

SNN Architecture for Differential Time Encoding Using Decoupled Processing Time. - Daniel Windhager; Bernhard Alois Moser; Michael Lunglmayr (AICAS, 2024)

On the Solvability of the XOR Problem by Spiking Neural Networks. - Bernhard Alois Moser; Michael Lunglmayr (DEXA Workshops, 2024)

Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance. - Daniel Windhager; Bernhard Moser 001; Michael Lunglmayr (EUROCAST (2), 2024)

Efficient Hardware Architecture for Random Forest Training. - Jakob Winkler; David Hackl; Michael Lunglmayr (EUROCAST (2), 2024)

A Resource-Efficient SoC Accelerator for Boosted Decision Trees. - Jakob Winkler; Michael Lunglmayr (NewCAS, 2024)

On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals. - Bernhard Alois Moser; Michael Lunglmayr (CoRR, 2024)

On the Sampling Sparsity of Neuromorphic Analog-to-Spike Conversion based on Leaky Integrate-and-Fire. - Bernhard Alois Moser; Michael Lunglmayr (CoRR, 2024)

Spiking neural networks in the Alexiewicz topology: A new perspective on analysis and error bounds. - Bernhard Alois Moser; Michael Lunglmayr (Neurocomputing, 2024)

A Hardware Architecture for Efficient Adaptive Threshold-Based Sampling using Weyl's Discrepancy. - Anna Werzi; Simon Dorrer; Bernhard Alois Moser; Michael Lunglmayr (ISCAS, 2025)

Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding. - Daniel Windhager; Lothar Ratschbacher; Bernhard A. Moser; Michael Lunglmayr (ISCAS, 2025)

Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding. - Daniel Windhager; Lothar Ratschbacher; Bernhard Moser 001; Michael Lunglmayr (CoRR, 2025)

Lightweight LIF-only SNN accelerator using differential time encoding. - Daniel Windhager; Lothar Ratschbacher; Bernhard Alois Moser; Michael Lunglmayr (CoRR, 2025)