The course covers most of  the topics discussed in main lecture.  By the end of the course, the students will acquire skills and methodologies to solve problems related to digital signal processing.

Different assignments to be solved at home and corrected in the class. Matlab simulations.

Frequency Domain RepresentationSampling TheoremDiscrete Time Fourier Transform-DTFTDiscrete Fourier Series (DFS), Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT)Discrete-Time Convolution z-TransformImplementation of Discrete Time SystemsDigital Filter Properties and DesignThe Discrete Cosine Transform (DCT)Introduction to time-frequency analysis

Complex numbers.Linear Algebra.Calculus. 

Vetterli, M., Kovačević, J., & Goyal, V. K. (2014). Foundations of Signal Processing. Cambridge: Cambridge University Press.

AssignmentsClass ParticipationLaboratory Projects 

The topics covered in the main lecture "700.120 Digital signal processing"

Assignments and Class Participation (20%)Two (02) projects, each weighted 40%, i.e., 2 x 40% = 80%