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Model-Driven Development Methodology Applied to Real-Time MEG Signal Preprocessing System Design.

, , , , , and . EMS, page 28-33. IEEE, (2017)

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Transversal surface wave control by gain switching iterative learning improving research on active turbulent flow control., , , and . AuCC, page 300-305. IEEE, (2015)Model-Driven Development Methodology Applied to Real-Time MEG Signal Preprocessing System Design., , , , , and . EMS, page 28-33. IEEE, (2017)Smooth wavelength transition in a Lorentz force based actuator system for turbulence research., , , , , and . IEEE SENSORS, page 1-3. IEEE, (2017)Sensors for waveform control in a Lorentz force based actuator system for turbulence research., , , , , and . IEEE SENSORS, page 1-3. IEEE, (2017)Simulating Heterogeneous Models on Multi-Core Platforms using Julia's Computing Language Parallel Potential., , , , and . DS-RT, page 1-4. IEEE, (2020)Iterative Learning Control and Decoupling of Lorentz Force Based Actuator Systems for Turbulence Research., , , , , and . CCTA, page 1265-1269. IEEE, (2018)Automatic Step Detection in the Accelerometer Signal., , , , and . BSN, page 80-85. Springer, (2007)Iterative Learning Wave Control of a 20 Actuator System for External Flow Research., , , , , and . CoDIT, page 1272-1276. IEEE, (2019)iNODE in-vivo testing for selective vagus nerve recording and stimulation., , , , , and . NER, page 525-528. IEEE, (2015)Effective Low-Pass Filter Function Due to the Use of a Comb Filter and Virtual Oversampling., , , and . ISCAS, page 1-5. IEEE, (2021)