Natural Hazard Monitoring and On-Device Classification

In natural hazard warning systems fast decision making is vital to avoid catastrophes. Decision making at the edge of a wireless sensor network promises fast response times but is limited by the availability of energy, data transfer speed, processing and memory constraints. In this work we present a realization of a wireless sensor network for hazard monitoring based on an array of event-triggered single-channel micro-seismic sensors with advanced signal processing and characterization capabilities based on a novel co-detection technique. Read more...


Systematic Identification of Noise on Matterhorn (CH)

In this work, we present a systematic strategy to identify a multitude of external influence sources, characterize and quantify their impact and develop methods for automated identification in microseismic signals. We apply the strategy developed to a real-world, multi-sensor, multi-year microseismic monitoring experiment performed at the Matterhorn Hörnligrat (Switzerland). Read more...


Nyquist Sinc-Pulse Shaping

Nyquist sinc-pulse shaping provides spectral efficiencies close to the theoretical limit. We worked on real-time Nyquist pulse shaping implementations using field programmable gate arrays (FPGA) along with high-speed digital-to-analog and analog-to-digital converters (DAC, ADC) within optical transceivers. Read more...