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Course Catalog 2012-2013
SGN-1159 Introduction to Signal Processing, long version, 5 cr |
Person responsible
Pavlo Molchanov, Atanas Gotchev, Karen Eguiazarian
Lessons
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Requirements
Tentti
Learning outcomes
Students should know additionally to above, how to use z-transforms and to analyse signals and systems in z-domain, as well as know fast Fourier transform algorithms and DSP algorithms implementation
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | 1 Introduction of different signals, analog vs. digital 2 Audio & speech - sampling - ADC and DAC - aliasing examples - filtering - spectrum 3 Image and video processing - aliasing effects - image enhancement - edge detection, etc. 4 Basic tools: impulse response, convolution Fourier transform 5 Signal analysis 6 LTI systems inFourier and z-transform domains 7 DSP algorithms implementation |
Evaluation criteria for the course
Course is graded according to exam results, and in-class and homework exercises
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Prerequisite relations (Requires logging in to POP)
Correspondence of content
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |