Course Catalog 2009-2010 |
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SGN-1107 Introductory Signal Processing, 4 cr |
Karen Eguiazarian
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| Implementation 1 |
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In-class and homework exercises. 70% of lectures and 100% of exercises have mandatory attendance. All the homeworks have to be returned before the last lecture of the course. Grading will be based on in class and homework exercises. No exam.
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Introduction to digital signal (e.g., audio, image and video) processing. Basic signal processing concepts and tools such as discrete-time signals and systems, convolution and correlation, sampling, discrete Fourier transform.
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 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 |
Course is graded according to in-class and homework exercises. No exam.
Numerical evaluation scale (1-5) will be used on the course
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | "Digital Signal Processing: A Computer-Based Approach" | Sanjit K. Mitra | 0073048372 / 0072865466 | 3rd edition, McGraw-Hill, 2005 | English | ||
| Summary of lectures | "Introductory Signal Processing" | Karen Eguiazarian | English |
| Course | Corresponds course | Description |
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| Description | Methods of instruction | Implementation | |
| Implementation 1 | Basic Introductory Course on Signal Processing | Lectures Excercises Practical works |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |