Buchbeiträge des FG Elektronische Messtechnik und SignalverarbeitungBuchbeiträge des FG Elektronische Messtechnik und Signalverarbeitung


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Römer, Florian; Kirchhof, Jan; Krieg, Fabian; Pérez, Eduardo
Compressed Sensing: from big data to relevant data. - In: Handbook of Nondestructive Evaluation 4.0, (2022), S. 329-352

Though the ever-increasing availability of digital data in the context of NDE 4.0 is mostly considered a blessing, it can turn to a curse quite rapidly: managing large amounts of data puts a burden on the sensor devices in terms of sampling and transmission, the networks, as well as the server infrastructure in terms of storing, maintaining, and accessing the data. Yet, NDE data can be highly redundant so the storage of massive amounts of data may indeed be wasteful. This is the main reason why focusing on relevant data as early as possible in the NDE process is highly advocated in the context of NDE 4.0. This chapter introduces Compressed Sensing as a potential approach to put this vision to practice. Compressed Sensing theory has shown that sampling signals with sampling rates that are significantly below the Shannon-Nyquist rate is possible without loss of information, provided that prior knowledge about the signals to be acquired is available. In fact, we may sample as low as the actual information rate if our prior knowledge is sufficiently accurate. In the NDE 4.0 context, prior knowledge can stem from the known inspection task and geometry but it can also include previous recordings of the same piece (such as in Structural Health Monitoring), information stored in the digital product memory along the products’ life cycle, or predictions generated through the products’ digital twins. In addition to data reduction, reconstruction algorithms developed in the Compressed Sensing community can be applied for enhanced processing of NDE data, providing added value in terms of accuracy or reliability. The chapter introduces Compressed Sensing basics and gives some concrete examples of its application in the NDE 4.0 context, in particular for ultrasound.

Müller, Robert; Dupleich, Diego
THz broadband channel sounders. - In: THz Communications, (2022), S. 37-48

This chapter is the perfect introduction to get an overview of THz channel sounder technologies. Additionally, all relevant state of the art and references for the field of THz channel sounding are summarized. The aim of the THz sounder chapter is to create a basic understanding of measurement setups and challenges for the measurement of the electromagnetic wave propagation in the THz range. All necessary principles, from generating the transmit signal over different mixing principles to the THz band and the data acquisition, are compact summarized.

Jovanoska, Snezhana; Govaers, Felix; Thomä, Reiner
People tracking and data fusion for UWB radar applications. - In: Waveform diversity and cognitive radar, and target tracking and data fusion, ISBN 978-1-61353-226-3, (2017), S. 429-455

Kmec, Martin; Helbig, Marko; Herrmann, Ralf; Rauschenbach, Peter; Sachs, Jürgen; Schilling, Kai
Toward integrated [my]Network Analyzer. - In: Ultra-wideband, short-pulse electromagnetics 10, (2014), S. 443-451

Kmec, Martin; Helbig, Marko; Herrmann, Ralf; Rauschenbach, Peter; Sachs, Jürgen; Schilling, Kai
M-sequence-based single-chip UWB-radar sensor. - In: Ultra-wideband, short-pulse electromagnetics 10, (2014), S. 453-461

Sharma, Rajesh Kumar;
Physical layer security and its applications: a survey. - In: Security, privacy, trust, and resource management in mobile and wireless communications, ISBN 978-1-4666-4691-9, (2014), S. 29-60

Haardt, Martin; Pesavento, Marius; Römer, Florian; Nabil El Korso, Mohammed
Subspace methods and exploitation of special array structures. - In: Array and statistical signal processing, ISBN 978-0-12-411597-2, (2014), S. 651-717

Heinen, Stefan; Wunderlich, Ralf; Robens, Markus; Sachs, Jürgen; Kmec, Martin; Weigel, Robert; Ußmüller, Thomas; Sewiolo, Benjamin; Hamouda, Mohamed; Kraemer, Rolf; Scheytt, Johann-Christoph; Borokhovych, Yevgen
HaLoS - integrated RF-hardware components for ultra-wideband localization and sensing. - In: Ultra-wideband radio technologies for communications, localization and sensor applications, (2013), S. 369-438

Hilger, Ingrid; Dahlke, Katja; Rimkus, Gabriella; Geyer, Christiane; Seifert, Frank; Kosch, Olaf; Thiel, Florian; Hein, Matthias; Scotto di Clemente, Francesco; Schwarz, Ulrich; Helbig, Marko; Sachs, Jürgen
ultraMEDIS - ultra-wideband sensing in medicine. - In: Ultra-wideband radio technologies for communications, localization and sensor applications, (2013), S. 257-322

Zetik, Rudolf; Yan, Honghui; Malz, Elke; Jovanoska, Snezhana; Shen, Guowei; Thomä, Reiner; Salman, Rahmi; Schultze, Thorsten R. P.; Tobera, Robert; Willms, Hans-Ingolf; Reichardt, Lars; Janson, Małgorzata; Zwick, Thomas; Wiesbeck, Werner; Deißler, Tobias; Thielecke, Jörn
Cooperative localization and object recognition in autonomous UWB sensor networks. - In: Ultra-wideband radio technologies for communications, localization and sensor applications, (2013), S. 179-240