Module Guide: Hochschule Offenburg

Communication and Media Engineering

Application

EMI Department

Prerequisite

- Basics of continuous-time and discrete-time signals and systems (impulse response, step response,frequency response)

- Fourier Series, Fourier Transformation, Laplace Transformation, z-Transformation

- Lecture "Digital Signals and Systems" EMI(403)

Teaching methods

Lecture/Lab

Learning target / Competences

The students acquire:

- Profound knowledge of digital signal processing systems

- Ability to implement modern signal processing concepts

Duration

Hours per week

5.0

Overview

ECTS

6.0

Requirements for awarding credit points

Advanced Digit. Signal Processing: written exam K90

DSP Lab must be passed.

Credits and grades

6 CP / Grades 1.0 / 1.3 / 1.7 / 2.0 / 2.3 / 2.7 / 3.0 / 3.3 / 3.7 / 4.0 / 4.3 / 4.7 / 5.0

Responsible person

Prof. Dr. Reich

Recommended semester

2/3

Frequency

annually (SS+WS)

Usability

Master's degree program CME

Lectures

Type	Lecture
Nr.	EMI414
Hours per week	4.0
Content	Transform Analysis of Linear Time-Invariant Systems: Frequency Response Components, All-Pass Filters, Minimum-Phase Systems. IIR Filter Design: Approximation of Differential Equation, Impulse and Step Invariance Design, Bilinear Transformation. IIR Filter Structures: Noncanonical and Canonical Direct Form, Transposed Direct Form, Parallel Form, Cascade Form. Finite Precision Numerical Effects. FIR Filter Design Techniques: Fourier Approximation, Windowing, Optimum Equiripple Approximation. Discrete Fourier Transform (DFT): Linear and Circular Convolution, Fast Fourier Transform (FFT) Algorithms. Multirate Processing: Downsampling, Decimation Filter, Upsampling, Interpolation Filter. Adaptive Signal Processing: Configuration in different Applications, Optimum Filter, Least-Mean-Squares Algorithm.
Literature	Oppenheim, Alan V.; Schafer, Ronald W.: Discrete-Time Signal Processing. Pearson, 2013.

Type	Lab
Nr.	EMI415
Hours per week	1.0
Content	Experiment 1: A-to-D and D-to-A-Conversion - Aliasing Effect - Mirror Components - (sin x)/x-Distortion - Quantization Effects: Estimation of Signal-to-Noise-Ratio - Nonlinearity of D-to-A-Converter - Subjective Listening Tests Experiment 2: Finite Impulse Response (FIR-) Filters - Filter Design Using the Fourier Approximation - Modification by Using Window Functions - Optimum Design (Parks-McClellan-Algorithm) - Finite Precision Effects - Design of Hilbert Filters (Wideband Phase Shifters) Experiment 3: Fast Fourier Transformation - Speed Measurements - Spectral Analysis, Windows to reduce Leakage Effects - Comparison of direct and fast Implementation of Correlation - Comparison of direct and fast Convolution
Literature	"User's Guides" for the Experiments