CS 5660

CS 5660

Course information provided by the Courses of Study 2016-2017.

Correlation, convolution, Fourier transform, and moving-average and autoregressive frequency-selective filtering for one-dimensional and two-dimensional discrete-time signals. One-dimensional time signal processing applications include system identification, interference cancellation, channel equalization, and prediction. Two-dimensional signal (image) processing applications utilize histogram equalization, morphological filtering, and the Radon transform. Programming in Matlab.

When Offered Fall.

Permission Note Enrollment limited to: students enrolled at Cornell Tech.
Prerequisites/Corequisites Prerequisite: Some familiarity with linear algebra and statistics (at the level taught in a freshman course), or permission of instructor.

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Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 12439 CS 5660   LEC 031

  • Taught in NYC. Enrollment limited to: Cornell Tech students.