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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 IiMH1810Mathematics 1MH1811Mathematics 2MH2810Mathematics ASignals & Systems
Unlocks
E3012LCommunication PrinciplesE3014LDigital Signal ProcessingEE3012Communication PrinciplesEE3014Digital Signal ProcessingEE4155Wireless Communications & Mobile NetworksEE4190Introduction To Modern RadarEE4491Probability Theory & ApplicationsIE3012Communication 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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