Digital Signal Processing
Code:
1ING09
Credits:
3
Requirements:
1MAT32
This course covers the fundamental concepts of digital signal processing. The students will learn about sampling theorem, discrete convolution and correlation of signals, linear systems, time-frequency analysis, discrete Z transform, and discrete Fourier transform. In addition, the course covers the use of digital filters and adaptives filter to enhance the input signal. An introduction of digital image processing in the spatial domain will also be in the scope of the course.
Instructor:
Stefano Enrique Romero
Itamar Salazar