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MIT OpenCourseWare

Channel | updated April 22, 2013

MIT OpenCourseWare (OCW) is a web-based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity. The material available reflects almost all the undergraduate and graduate subjects taught at MIT. Visit OCW

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21 - 40 of 2,850
Introduction to Algorithms - Recitation 10: Quiz 1 Review
  • MIT OpenCourseWare,
  • Educational
Introduction to Algorithms - Recitation 10: Quiz 1 Review

Description: This recitation covers several practice problems for Quiz 1, taken from previous semesters of 6.006. Instructor: Victor Costan

Introduction To MATLAB Programming - Lecture 4: Plotting
  • MIT OpenCourseWare,
  • Educational
Introduction To MATLAB Programming - Lecture 4: Plotting

Description: This video lecture demonstrates how to manipulate the style, axes, and position of plots in MATLAB and how to create multiple subplots. Instructor: Yossi Farjoun

Signals and Systems - Lecture 20: Applications of Fourier ...
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 20: Applications of Fourier Transforms

Instructor: Dennis Freeman Description: Three examples of Fourier transforms in action are given: removing noise from an electrocardiogram signal, using laser diffraction to calculate the groove spacing on CDs and DVDs, and determining the structure of DNA via x-ray ...

Signals and Systems - Lecture 21: Sampling
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 21: Sampling

Instructor: Dennis Freeman Description: Sampling produces a discrete-time (digital) signal from a continuous-time (physical) phenomenon. Anti-aliasing and reconstruction filters remove unnecessary frequencies while retaining enough information to reconstruct the ...

Signals and Systems - Lecture 22: Sampling and Quantization
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 22: Sampling and Quantization

Instructor: Dennis Freeman Description: Digital audio, images, video, and communication signals use quantization to create discrete representations of continuous phenomena. Efficient transmission and reconstruction uses techniques such as dithering, progressive ...

Signals and Systems - Lecture 23: Modulation, Part 1
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 23: Modulation, Part 1

Instructor: Dennis Freeman Description: 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 ...

Signals and Systems - Lecture 24: Modulation, Part 2
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 24: Modulation, Part 2

Instructor: Dennis Freeman Description: 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.

Signals and Systems - Lecture 15: Fourier Series
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 15: Fourier Series

Instructor: Dennis Freeman Description: Today's lecture discusses an application of Fourier series, exploring how the vocal tract filters frequencies generated by the vocal cords. Speech synthesis and recognition technology uses frequency analysis to accurately ...

Signals and Systems - Lecture 16: Fourier Transform
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 16: Fourier Transform

Instructor: Dennis Freeman Description: The concept of the Fourier series can be applied to aperiodic functions by treating it as a periodic function with period T = infinity. This new transform has some key similarities and differences with the Laplace transform, its ...

Signals and Systems - Lecture 19: Relations Among Fourier ...
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 19: Relations Among Fourier Representations

Instructor: Dennis Freeman Description: Today's lecture solidifies the connections between continuous- and discrete-time Fourier series and transforms, converting between the time and frequency domains with familiar tools such as convolution, periodic extension, and ...

Signals and Systems - Lecture 2: Discrete-Time (DT) Systems
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 2: Discrete-Time (DT) Systems

Instructor: Dennis Freeman Description: Discrete-time systems can be represented in several ways: difference equations, block diagrams, and operators. Each method requires a different analytical approach. Feedback loops in cyclic systems lead to convergent or divergent ...

Signals and Systems - Lecture 3: Feedback, Poles, and ...
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 3: Feedback, Poles, and Fundamental Modes

Instructor: Dennis Freeman Description: 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.

Signals and Systems - Lecture 4: Continuous-Time (CT) ...
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 4: Continuous-Time (CT) Systems

Instructor: Dennis Freeman Description: 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.

Signals and Systems - Lecture 5: Z Transform
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 5: Z Transform

Instructor: Dennis Freeman Description: 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 ...

Signals and Systems - Lecture 7: Discrete Approximation of ...
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 7: Discrete Approximation of Continuous-Time ...

Instructor: Dennis Freeman Description: Having established representations and analytical methods for discrete-time and continuous-time systems, today's lecture uses the example of a leaky tank to show how Euler and trapezoidal approximations can convert a continuous ...

Signals and Systems - Lecture 10: Feedback and Control
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 10: Feedback and Control

Instructor: Russ Tedrake Description: Prof. Tedrake introduces the power and complexity of modern control systems, which use feedback to stabilize and compensate for delays and other errors. Examples are taken from his research into perching planes and other ...

Signals and Systems - Lecture 13: Continuous-Time (CT) ...
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 13: Continuous-Time (CT) Feedback and ...

Instructor: Dennis Freeman Description: 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 ...

Signals and Systems - Lecture 14: Fourier Representations
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 14: Fourier Representations

Instructor: Dennis Freeman Description: In the next half of the course, periodic functions are represented as sums of harmonic functions, via Fourier decomposition. Linear time-invariant systems amplify and phase-shift these inputs to produce filtered output, an ...

Signals and Systems - Lecture 9: Frequency Response
  • MIT OpenCourseWare,
  • Educational
Signals and Systems - Lecture 9: Frequency Response

Instructor: Dennis Freeman Description: 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 ...

Groundwater Hydrology - Diffusion Sampling
  • MIT OpenCourseWare,
  • Educational
Groundwater Hydrology - Diffusion Sampling

Q&A with Denis Leblanc: Sample collection, diffusion sampling, contaminant storage, water lifting, multi-level samplers, contaminant plume cleanup.

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