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Discrete-Time and Statistical Signal Processing
Item type: Educational Material
Loeliger; Loeliger, Hans-Andrea (2026)
Lecture notes of a course held at ETH Zurich until 2025.
These lecture notes cover some foundations of digital signal processing with a bias towards
applications in communications. The two main topics are linearity and probability. A recurrent
theme is the inversion of a linear filter, for which we use linear, nonlinear, and statistical methods.
BikeZ-ETH
Item type: Conference Paper
Ni, Ying-Chuan; Ramseier, Thomas; El-Baklish, Shaimaa K.; et al. (2026)
Bicycle traffic congestion is already evident in several major cities in the Netherlands and Denmark. However, in contrast to motorized vehicle traffic, the dynamics of bicycle traffic flow–at both microscopic and macroscopic levels–remain insufficiently understood, particularly in congested conditions. To address this gap, we present the BikeZ-ETH dataset, which comprises high-resolution cycling trajectories collected via drone-based observations from both naturalistic and controlled experiments at multiple locations in the city of Zurich, Switzerland. This work first introduces the field experimental design and the data post-processing pipeline. The dataset enables detailed analysis of bicycle flow efficiency and cycling behavior in various road environments. It also captures bi-modal interactions between bicycles and motor vehicles in mixed-traffic conditions. Leveraging empirical insights derived from the trajectory data, future work will develop a SUMO-integrated traffic simulation API tailored for non-lane-based bicycle flow. Both the dataset and simulation tool support a wide range of applications, including bike lane network design, road space allocation, and multi-modal traffic control strategies.
Ambient ice-nucleating particle (AINP) database (1944-2020)
Item type: Data Collection
Kanji, Zamin; Zhang, Cuiqi; David, Robert O.; et al. (2026)
The 1944-2020 AINP database is a compilation of more than 70 years of global atmospheric ambient ice-nucleating particle (INP) number concentration measurements. It incorporates data from 300+ publications spanning 1944–2020 with measurements from 1938 to 2020. In addition to the measured INP number concentrations, the AINP database includes essential metadata such as sample time and geographical location (latitude, longitude, height), instrument and operating conditions (temperature and relative humidity), and data source as outlined below.
Sub-solidus hydrology controls high-grade tin deposit formation in granites - Data collection
Item type: Data Collection
Krattiger, Nicolas; Köpping, Jonas; Weis, Philipp; et al. (2026)
Mathematical theories for metamaterials: From condensed matter theory to subwavelength physics
Item type: Book Chapter
Ammari, Habib; Davies, Bryn; Hiltunen, Erik Orvehed (2026)