This course introduces students to the fundamentals of Digital Signal Processing (DSP) including sampling theorems, z-transform, Linear Time-invariant (LTI) systems analysis, Discrete-Time Systems (DTS) structures, filter structure, filter design and Discrete Fourier Transform (DFT). This course also exposes students to computational tools in solving engineering problems related to DSP and its applications.

At the end of this course, students should be able to:

CO 01: Apply sampling theorem to obtain discrete-time signals, classify discrete-time system and perform convolution in time domain.

CO 02: Design various types of filter using transfer function of LTI system and obtain filter response using DFT technique.

CO 03: Conduct independent readings and researches in providing design solution for filter design problem by translating filter's transfer function into real-time using computational tools.