Summer Semester 2023

Digital Signal Processing (DSP) is a branch of electrical engineering that deals with processing signals in digital form. DSP is used to analyze, modify, or extract features from digital signals such as sound, images, and video. The main focus of DSP is to improve signal quality and provide useful information.

DSP is used in many applications including communications, medical imaging, audio and video processing, radar, speech and image recognition, signal analysis and synthesis, and control systems.

It is also used in signal conditioning and signal restoration to improve signal-to-noise ratio and reduce signal distortion. DSP techniques are used to reduce noise in signals, improve signal quality, and separate different signals from each other. DSP is also used in various fields such as telecommunications, aerospace, and instrumentation. It is used to optimize system performance, analyze complex signals, and reduce the number of hardware components. DSP algorithms are used to increase the accuracy and speed of signal processing, while reducing complexity and power consumption.

The use of DSP is a rapidly growing field, with applications being developed in many fields including consumer electronics, telecommunications, medical imaging, robotics, and industrial automation. DSP is used to analyze, modify, and extract information from digital signals, making it a powerful tool for engineers and scientists across many industries.

Lecturer: Dr.-Ing. Udo Klein

On successful completion of this module the student will be able to:

  1. apply the electric circuit problem-solving process to analyze an electric circuit;
  2. analyze dc voltages, dc currents, and dc power in linear dc circuits;
  3. understand the different methods to analyze electric circuits, their scope, and their advantages and disadvantages: parallel components, series components, Δ-to-Y equivalent circuit, source transformation, Norton and Thévenin equivalent circuits, node-voltage method, mesh-current method, etc.;
  4. select the most appropriate analysis methods for a practical application;
  5. perform an electric circuit analysis to find the unknown circuit parameter;
  6.  determine the power budget in an electric circuit;
  7. solve first- and second-order differential equations with constant inputs;
  8. understand phasor representation of sinusoidal signals and use the method for solving linear differential equations with sinusoidal inputs;
  9. apply the phasor concept to solve circuits for the sinusoidal steady-state response;
  10. use active and reactive power in ac circuits, understand the distinction between instantaneous and average power and use the concept of maximum power transfer;
  11. analyze various configurations of three-phase ac circuits.

Lecturer: Dr.-Ing. Udo Klein

This course introduces the tools and techniques to study static electric fields and steady magnetic fields. Time-dependent electromagnetic fields are discussed as far as it is necessary to introduce electromagnetic induction. The course guides the student to an understanding of the mathematical formalism underlying the study of electromagnetic fields as it is expressed in Maxwell’s equations. The physical interpretation and the relevance to electrical engineering is developed in a systematic and comprehensive description of electromagnetic fields. The approach is to emphasize physical understanding and problem-solving skills. The experimental laws are presented as concepts that are then unified in Maxwell’s equations. The mathematical tools are introduced on an as-needed basis.

Lecturer: Dr.-Ing. Udo Klein