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Examples on Project Areas
- System for Analysis of Speech Signals
- The analysis uses a Fast Fourier Transform (FFT).
During the analysis the properties of the speech
signal are analyzed, modified and based on that
the speech signal is reconstructed. These methods
can be used for noise reduction of speech signals.
- Adaptive Signal Processing
- Adaptive signal processing is used for designing
filtering methods, which are dependent of the
received signals. The methods within this are are
widely used in speech coding/recognition, communication
systems, wireless systems, medical measurement systems,
etc. The project starts by studying linear prediction,
the Levinson-Durbin algorithm, properties of stationary
stochastic signals, the LMS adaptive filter, and its
application in echo cancellation, and noise reduction.
The examples are verifyed in the programming language
Matlab.
- Other Examples F.inst.
- Indoor positioning of mobile units, analysis of medical
signals, or examples you might have special interest in.
Project descriptions for all courses at ITU can be found
here.
For further information, please contact the teachers
Associate Professor, Ph.D.
John Aasted Sørensen
e-mail: jaas@itu.dk
Ph.D. student Jianjun Chen
e-mail: chen@itu.dk
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