Welcome to Digital Signal Processing!
This course will provide students fundamental knowledge in the field of applied mathematics necessary for the following research areas:
- Communication Systems
- Digital Signal Processing
- Speech, Audio, and Image Processing
- Computer Vision
- Robotics
The course focuses in the fundamentals from an application point of view and is supported by extensive training in MATLAB.
Course Objectives
Course objectives include:
- Discrete time signals and systems.
- Difference equations.
- Discrete-time Fourier Transform.
- Frequency Response.
- Z Transform.
- Linear and Time Invariant (LTI) Systems Analysis.
- Properties of LTI Systems.
- Signal flow graphs and structures.
- All-pass, minimum phase, and linear phase systems.
- FIR, IIR filters, Filter Design Principles.
- Spectral Analysis.
Real-life applications are presented that include 1D (music, speech, telecoms, etc) or 2D (images) signals. Homework and laboratory assignments extensively use the MATLAB programming environment.