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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.
Required first
CY1601Mathematics ICY1602Mathematics IiIM2092MH1810Mathematics 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 & Applications| Mon | Tue | Wed | Thu | Fri | |
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IE0005
Introduction To Data Science & Artificial Intelligence
IE1005
From Computational Thinking To Programming
IE2007
Engineering Mathematics Ii
IE2104
Digital Electronics
IE2106
Engineering Mathematics I
IE2108
Data Structures & Algorithms
IE3002
Microprocessors
IE3012
Communication Principles
IE3014
Digital Signal Processing
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| 1130 | 32271 TUT (EE02) 1130-1250 Wed TR+65 | ||||
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| 1530 | 32272 TUT (EE03) 1530-1650 Thu TR+63 | ||||
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