Oppenheim Signals and Systems Video Lectures [MIT-OCW]

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Oppenheim Signals and Systems Video Lectures [MIT-OCW] (Size: 4.62 GB)
  L1-Introduction.ogv 128.69 MB
  L10-Discrete-Time Fourier Series.ogv 214.14 MB
  L11-Discrete-Time Fourier Transform.ogv 237.2 MB
  L12-Filtering.ogv 179.11 MB
  L13-Continuous-Time Modulation.ogv 229.55 MB
  L14-Demonstration of Amplitude Modulation.ogv 153.64 MB
  L15- Discrete-Time Moduladion.ogv 183.34 MB
  L16-Sampling.ogv 197.66 MB
  L17-Interpolation.ogv 224.4 MB
  L18-Discrete-Time Processing of Continuous-Time Signals.ogv 169.09 MB
  L19-Discrete-Time Sampling.ogv 73.55 MB
  L2-Signals And System sI.ogv 187.74 MB
  L20-The Laplace Transform.ogv 234.26 MB
  L21-Continous-Time Second-Order Systems.ogv 182.85 MB
  L22-The z-Transform.ogv 220.56 MB
  L23-Mapping Continuous-Time Filters to Discrete-Time Filters.ogv 166.48 MB
  L24-Butterworth Filters.ogv 193.05 MB
  L25-Feedback.ogv 85.03 MB
  L26-Feedback Example The Inverted Pendulum.ogv 146.46 MB
  L3-Signals And Systems II.ogv 211.88 MB
  L4-Convolution.ogv 96.02 MB
  L5-Properties of LTI Systems.ogv 231.95 MB
  L6-Systems Represented by Differential Equations.ogv 200.54 MB
  L7-Continuous-Time Fourier Series.ogv 217.6 MB
  L8-Continuous-Time Fourier Transform.ogv 150.77 MB
  L9-Fourier Transform Properties.ogv 211.07 MB
  ▲ 26 total files

Description


Video lectures from MIT professor Alan V. Oppenheim.


Course description:

This course was developed in 1987 by the MIT Center for Advanced Engineering Studies. It was designed as a distance-education course for engineers and scientists in the workplace.

Signals and Systems is an introduction to analog and digital signal processing, a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, defense electronics, consumer electronics, and consumer products.

The course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform and its generalizations, which are explored in detail. Filtering and filter design, modulation, and sampling for both analog and digital systems, as well as exposition and demonstration of the basic concepts of feedback systems for both analog and digital systems, are discussed and illustrated.


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There's a total of 26 lectures.

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