SD2130 Signal Analysis 8.0 credits
This course has been cancelled.
The fundamental part gives knowledge of the theoretical background of signal analysis, e.g., Fourier analysis, FFT, DFT, correlation, signals and linear systems and the Z-transforms and digital filters. In the application part signal analysis is used in some important applications.
Education cycleSecond cycle
Main field of study
Grading scaleA, B, C, D, E, FX, F
Last planned examination: spring 20.
At present this course is not scheduled to be offered.
Intended learning outcomes
The aim of the first part of the course is to give the students knowledge about the theoretical foundations of signal analysis, and ability to apply this knowledge for analysis of mechanical systems. The aim of the application part of the course is to acquire knowledge and practical ability in important methods in analysis of mechanical systems.
The student should after finishing the course be able to:
- Use a signal analyser (FFT-analyser) and be able to choose the measurement setup: frequency range, length of time record, time windows, number of averages etc.
- Perform signal analysis on measured time record in Matlab.
- Choose appropriate signal analysis methodology for a given problem. For example choosing between time or frequency domain analysis, one-channel or multi-channel analysis, different types of filtering etc.
- Interpret results from different types of signal analysis, for instance spectra, correlation functions or frequency response functions.
- Be able to extract information about the character of the studied signal such as periodicity, time delays and linearity.
Course main content
Fundamental part: Amplitude characterisation, classification of signals, Fourier analysis and Laplace transforms in signal analysis, discrete signals (sampling, averaging, DFT, FFT, windowing), spectrum analysers, correlation methods, signals and linear systems - frequency response functions, the coherence function. Z-transforms and digital filtering.
The students will get practical training in using the theoretical concepts and signal analysis methods by computer exercises.
Application part: In the laboratory exercises signal analysis methods are used in two important applications in sound and vibration analysis: sound intensity measurements and active control of sound and vibration.
Basic courses in mathematics, mechanics and noise control.
Compendium: H. Bodén, K. Ahlin, U Carlsson, Signals and Mechanical Systems, KTH Aeronautical and Vehicle Engineering.
Collected additional material.
- INL1 - Assignments, 1.0, grading scale: P, F
- LAB1 - Laboratory Work, 3.0, grading scale: P, F
- TEN1 - Examination, 4.0, grading scale: A, B, C, D, E, FX, F
Requirements for final grade
Written tests (TEN1; 4 university credits).
Computer and laboratory exercises (LAB1; 3 university credits),
Assignments (INL1; 1 university credits).
SCI/Aeronautical and Vehicle Engineering
Hans Bodén <email@example.com>
SD2165 Acoustical Measurements
SD2150 Experimental Structure Dynamics
SD2155 Flow Acoustics
SD2170 Energy Methods
SD2175 Numerical Methods for Acoustics and Vibration
SD2180 Non-Linear Acoustics
SD2190 Vehicle Acoustics and Vibration
Course syllabus valid from: Autumn 2007.
Examination information valid from: Autumn 2007.