Through this course, students should be able to understand the representation of continuous-time and discrete-time signals; their frequency characteristics and Fourier spectrum; representation and characteristics of linear time-invariant systems in both time and frequency domains; and the principles of sampling a continuous-time signal to yield a discrete-time one.
Contents: Signals and Systems. Linear Time-Invariant Systems. Fourier Representation of Signals and LTI Systems. Sampling. Modulation.
Prerequisite graph
Required first
CY1601Mathematics ICY1602Mathematics IiMH1810Mathematics 1MH1811Mathematics 2MH2810Mathematics ASignals & Systems
Unlocks
E3012LCommunication PrinciplesE3014LDigital Signal ProcessingIE3012Communication PrinciplesIE3014Digital Signal ProcessingIE4110Optical Communication System DesignIE4120Optical Communication System DesignIE4155Wireless Communications & Mobile NetworksIE4476Image Processing & Computer VisionIE4491Probability Theory & ApplicationsAvailable indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | 32270 TUT (EE01) 0930-1050 Mon TR+66 | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | 32271 TUT (EE02) 1130-1250 Wed TR+65 | ||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | 32272 TUT (EE03) 1530-1650 Thu TR+63 | ||||
| 1600 | |||||
| 1630 |
Other relevant mods
- IE0005Introduction To Data Science & Artificial Intelligence
- IE1005From Computational Thinking To Programming
- IE2007Engineering Mathematics Ii
- IE2104Digital Electronics
- IE2106Engineering Mathematics I
- IE2108Data Structures & Algorithms
- IE3002Microprocessors
- IE3012Communication Principles
- IE3014Digital Signal Processing
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