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Signals and Systems is an introduction to analog and digital signal processing, a topic that forms an integral part of electrical engineering systems. This course is a fundamental prerequisite for advanced topics, such as communications, speech and image processing, computer vision, and consumer products. The course presents the basic concepts for both continuous-time and discrete-time signals and systems but mostly focuses on the continuous-time domain. In particular, linear time-invariant (LTI) systems are explored in detail, and Fourier series and transform are studied as an effective tool for LTI system analysis.
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Study linear time-invariant systems
Study Fourier series and transform
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Lecture Notes (PPT)
Textbook: Signals and Systems, Second Edition, by Simon Haykin and Barry Van Veen, Wiley.

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1 03.02 - 03.08 1 Ch.1 Introduction
2 03.09 - 03.15 1 Ch.1 Introduction, Ch.2 Time-domain representation of LTI systems
3 03.16 - 03.22 1 Ch.2 Time-domain representation of LTI systems
4 03.23 - 03.29 1 Ch.2 Time-domain representation of LTI systems
5 03.30 - 04.05 1 Ch.3 Fourier representation of signals and LTI systems
6 04.06 - 04.12 1 Ch.3 Fourier representation of signals and LTI systems
7 04.13 - 04.19 1 Ch.3 Fourier representation of signals and LTI systems
8 04.20 - 04.26 1 Áß°£°í»ç
9 04.27 - 05.03 1 Ch.4 Application of Fourier represenations to mixed signal classes
10 05.04 - 05.10 1 Ch.4 Application of Fourier represenations to mixed signal classes
11 05.11 - 05.17 1 Ch.6 Representing signals by using continuous-time complex exponentials
12 05.18 - 05.24 1 Ch.6 Representing signals by using continuous-time complex exponentials
13 05.25 - 05.31 1 Ch.7 Representing signals by using discrete-time complex exponentials
14 06.01 - 06.07 1 Ch.7 Representing signals by using discrete-time complex exponentials
15 06.08 - 06.14 1 Ch.8 Application to filters and equalizers
16 06.15 - 06.21 1 ±â¸»°í»ç
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