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Introduction to Communication, Control, and Signal Processing

This course features a complete set of course notes, Signals, Systems and Inference.This course examines signals, systems and inference as unifying themes in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; group delay; state feedback and observers; probabilistic models; stochastic processes, correlation funct...

Start Date: Feb 01, 2010 Topics: Signal Processing
Cost: Free

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Overview

Description

This course features a complete set of course notes, Signals, Systems and Inference.This course examines signals, systems and inference as unifying themes in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; group delay; state feedback and observers; probabilistic models; stochastic processes, correlation functions, power spectra, spectral factorization; least-mean square error estimation; Wiener filtering; hypothesis testing; detection; matched filters.

Details

  • Dates: Feb 01, 2010 to May 25, 2010
  • Days of the Week: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
  • Level of Difficulty: Beginner
  • Size: Massive Open Online Course
  • Instructors: Prof. George Verghese, Prof. Alan V. Oppenheim
  • Cost: Free
  • Institution: MIT OCW
  • Topics: Signal Processing

Provider Overview

About MIT OCW: 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.

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