RED - Robust and Efficient DSP

Currently Available Chapters

Recursive Computation of Signal Vector Norms

written by Katharina Rebbe, Gerhard Schmidt, and Tim Owe Wisch

This chapter is about numerically robust ways for recursive norm computation. In contrast to iterative norm computations, which are numerically very accurate and robust, recursive approaches offer a large reduction in computational complexity. However, after several thousand iterations error accumulation appears. To avoid this a mixed iterative and recursive approach is proposed that is cheap in complexity and robust with respect to error accumulation.

Removal of Signal Trends

written by Christin Bald, Julia Kreisel, and Gerhard Schmidt

This chapter is about the removal of the offset - also referred to as trend - of a signal. Therefore three different methods are introduced and compared against each other: subtracting a priori knowledge, highpass filtering, and a nonlinear, time-variant method. The presented methods are numerically robust and computationally efficient. The performances of the methods are demonstrated by removing the trend of a magnetically measured heart signal.


Chapters in Preparation





Pdf Versions of the Entire RED Collection

Link to pdf file Date   Version   Description
02.01.2018   0.1   Added links, improvement of the main document structure (one of chapters is "nearly" ready in this version)
02.08.2017   0.0   Initial version (none of chapters is ready in this version)


Basic Idea of RED

RED (robust and efficient DSP) is a collection of algorithms that should help engineers to implement basic signal processign tasks in - as the name states - a robust and efficient way. This includes mainly numerical aspects.



The RED collection is available as a conventional book (or book-like pdf document), but also as an html version with code snippets.


Prof. Dr.-Ing. Gerhard Schmidt


Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory

Kaiserstr. 2
24143 Kiel, Germany

Recent News

New PhDs in the DSS Team

Since January this year we have two new PhD students in the team: Elke Warmerdam and Finn Spitz.

Elke is from Amsterdam and she works in the neurology department in the university hospital in the group of Prof. Maetzler. Her research topic is movement analysis of patients with neurologic disorders. Elke cooperates with us in signal processing related aspects of her research. Elke plays ...

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