This course introduces concepts in digital signal
processing. Continuous-time signals and systems will be reviewed.
Consecutively, introduction to digital signal processing, basic idea, benefits
and applications are presented. Discrete-time
signals and systems are described based on signal definition,
periodicity, stability, causality, convolution, difference equations, infinite
impulse response (IIR), finite impulse response (FIR) and signal flow graphs. Spectrum representation of discrete-time
signals will cover sampling theorem, the discrete-time Fourier transform
(DTFT) and its properties, and Discrete Fourier Transform (DFT). Another domain
presented is Z-transform which
consists of topics on derivations, region of convergence, transformation
properties, poles and zeros, and inverse z-transform. At the end of the course,
analysis and design of digital filters
covers filter basics, analog filter prototypes and design of IIR filter and FIR
filter. |

Teaching >