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]

Complex-Valued Signal Processing

Using complex numbers to describe signals, e.g., in communication systems, can make analytic expressions much more compact and easier to analyze and has become a de facto standard ... [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]

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]