Signals and Systems

02-Feb-2015

26 Lessons
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510 Students

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6.003 covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling) and representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses). Applications are drawn broadly from engineering and physics, including feedback and control, communications, and signal processing.

Syllabus

1st lesson

Lesson 1

Signals and Systems

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2nd lesson

Lesson 2

Discrete-Time (DT) Systems

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3rd lesson

Lesson 3

Feedback, Poles, and Fundamental Modes

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4th lesson

Lesson 4

Continuous-Time (CT) Systems

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5th lesson

Lesson 5

Z Transform

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6th lesson

Lesson 6

Laplace Transform

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7th lesson

Lesson 7

Discrete Approximation of Continuous-Time Systems

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8th lesson

Lesson 8

Convolution

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9th lesson

Lesson 9

Frequency Response

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10th lesson

Lesson 10

Feedback and Control

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11th lesson

Lesson 11

Continuous-Time (CT) Frequency Response and Bode Plot

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12th lesson

Lesson 12

Continuous-Time (CT) Feedback and Control, Part 1

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13th lesson

Lesson 13

Continuous-Time (CT) Feedback and Control, Part 2

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14th lesson

Lesson 14

Fourier Representations

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15th lesson

Lesson 15

Fourier Series

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16th lesson

Lesson 16

Fourier Transform

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17th lesson

Lesson 17

Discrete-Time (DT) Frequency Representations

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18th lesson

Lesson 18

Discrete-Time (DT) Fourier Representations

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19th lesson

Lesson 19

Relations Among Fourier Representations

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20th lesson

Lesson 20

Applications of Fourier Transforms

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21st lesson

Lesson 21

Sampling

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22nd lesson

Lesson 22

Sampling and Quantization

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23rd lesson

Lesson 23

Modulation, Part 1

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24th lesson

Lesson 24

Modulation, Part 2

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25th lesson

Lesson 25

Audio CD

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26th lesson

Exams

Exams

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