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. Matlab/Python simulations.

Discrete-Time Signals and Systems in the Time-DomainSampling TheoremDiscrete-Time ConvolutionFrequency Domain RepresentationDiscrete-Time Fourier Transform (DTFT), Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT)z-TransformTransfer FunctionDigital Filter Properties and DesignIntroduction 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.

Class ParticipationHome AssignmentsComputational Tasks

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

Class Participation (20%)Home Assignments (20%)Two (02) computational tasks, each weighted 30%, i.e., 2 x 30% = 60%