MS in Signal Processing
Master
In Vishakapatnam
Description
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Type
Master
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Location
Vishakapatnam
Facilities
Location
Start date
Start date
Reviews
Course programme
Signal Processing-II
Complex Analysis and Transforms
Random Processes and Time Series Analysis
Introduction to MATLAB
The course extends the basic course in signal
processing through letting the students develop
theoretical knowledge within modern digital signal
processing and through letting the students acquire
knowledge of and insight into applied signal
processing problems.
4 Content
Central items of the course are:
• Sampling, reconstruction, decimation,
interpolation and sample frequency conversion
• Digital filter structures: FIR- and IIR filters
• Design of FIR-filter
• Design of IIR-filter via analog filters
• Discrete Fourier transform (DFT)
• Z-transform
• Spectral estimation
5 Aims and learning outcomes
On completion of the course the student will:
• be able to understand and use the Z-transform
• be able to understand and use the Discrete Fourier
Transform
• be able to design basic FIR/IIR filters and also
master various filter structures, as direct form 1,
direct form 2 and Lattice
• be able to estimate effect spectra through classical
methods; the periodogram, the Bartlett, Welch, and
Blackman-Turkey’s methods
• be able to understand and apply sampling and
reconstruction and also decimation and interpolation
6 Generic skills
The following generic skills are trained in the
course:
• General knowledge within the subject area for the
studies
• Skill in applying the knowledge in practice
• Solution of problems
• Skill in analysis and synthesis
7 Learning and teaching
The teaching comprises lectures, laboratory work
MS in Signal Processing