Methods of Signal Processing
Applied Information Theory
Information theory constitutes the theoretical foundation of all kinds of modern digital communication systems. By means of information theoretic metrics it is, e.g., possible to quantify ... [more]
Array Processing
Array processing is concerned with the joint processing of signals from spatially separated sensors. Typically, the sensors are arranged on a line, a square, ... [more]
Circuit Theory
Circuit theory is traditionally one of the key fields of electrical engineering. It revolves around the systematic analysis and modeling of electronic circuits and electronic components ... [more]
Machine Learning
Machine learning is concerned with detecting patterns and extracting information from large sets of data, where the underlying probabilistic models may be unknown or unavailable. In contrast to ... [more]
Numerical Linear Algebra
In numerical linear algebra, the effects of an inexact arithmetic on the stability of linear algebra operations are studied. As soon as computations are performed with finite precision ... [more]
Optimization
Optimization is an essential tool for decision making and it is extensively used in the design and operation of systems. In its most common form, optimization ... [more]
Physical Modeling
The purpose of physical modeling is to make sure that all applicable physical laws (e.g., Maxwell's equations, kinematic equations of motion) and physical principles (e.g., conservation of energy) ... [more]
Quantum Signal Processing
Motivated by the rapid development of quantum computers in recent years and the increasing interest in quantum technologies, also the field of quantum sensing emerged ... [more]
Sparse Signal Processing
It is well known that under-determined linear systems of equations may admit infinitely many solutions. Within the field of sparse signal processing, we are interested in those solutions, where ... [more]
Statistical Signal Processing
Statistical signal processing is a field of signal processing and applied mathematics that treats signals as stochastic processes. The introduction of statistical models for the signals of interest ... [more]