CS 5660 - Signal Processing

Fall. 3 credits. Student option grading.

Prerequisite: some familiarity with linear algebra and statistics (at the level taught in a freshman course), or permission of instructor. Enrollment limited to: Cornell Tech students. Offered at Cornell Tech in New York City.

C. R. Johnson.

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.