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Signals and Systems

Signals and Systems

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Lecture 13: Continuous-Time (CT) Feedback and Control, Part 2

Additional examples today illustrate the use of feedback to reduce sensitivity to variable component parameters and crossover distortion in audio systems, and to control two unstable systems (magnetic levitation, inverted pendulum).

48mins

27 Jun 2017

Rank #1

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Lecture 11: Continuous-Time (CT) Frequency Response and Bode Plot

Bode plots are a simpler method of graphing the frequency response, using the poles and zeros of the system to construct asymptotes for each segment on a log-log plot. The Q factor affects the sharpness of peaks and drop-offs in the system.

53mins

27 Jun 2017

Rank #2

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Lecture 9: Frequency Response

The response of a system to sinusoidal input gives valuable information about its behavior in the frequency domain, similar to convolution in the time domain. Eigenfunctions and vector plots are used to explore this frequency response.

50mins

27 Jun 2017

Rank #3

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Lecture 6: Laplace Transform

Building on concepts from the previous lecture, the Laplace transform is introduced as the continuous-time analogue of the Z transform. The lecture discusses the Laplace transform's definition, properties, applications, and inverse transform.

45mins

27 Jun 2017

Rank #4

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Lecture 5: Z Transform

After reviewing concepts in discrete-time systems, the Z transform is introduced, connecting the unit sample response h[n] and the system function H(z). The lecture covers the Z transform's definition, properties, examples, and inverse transform.

48mins

27 Jun 2017

Rank #5

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Lecture 4: Continuous-Time (CT) Systems

Drawing analogies with previous concepts in discrete-time systems, this lecture discusses the block diagrams, polynomial expressions, poles, convergence regions, and fundamental modes of continuous-time systems.

52mins

27 Jun 2017

Rank #6

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Lecture 3: Feedback, Poles, and Fundamental Modes

To analyze complicated systems of adders, delays, and gains, factor their polynomial expression into simpler components using the poles. These fundamental modes combine to produce the unit response of a system.

51mins

27 Jun 2017

Rank #7

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Lecture 25: Audio CD

The final Signals and Systems lecture explains how audio playback evolved from the fragile Edison cylinder phonograph to durable modern optical disks, through the application of digital signal processing concepts.

46mins

27 Jun 2017

Rank #8

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Lecture 24: Modulation, Part 2

Continuing the previous discussion of AM in radio, Prof. Freeman analyzes phase and frequency modulated (PM/FM) signals, before presenting research showing improvement in optical microscopy via phase-modulated illumination.

43mins

27 Jun 2017

Rank #9

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Lecture 23: Modulation, Part 1

Efficient signal transmission and reception requires wavelengths matching the size of the antenna; for speech, this requires frequencies around the GHz range. Broadcast radio developed AM and FM to produce accurate reception of multiplexed signals.

51mins

27 Jun 2017

Rank #10