DIGITAL SIGNAL PROCESSING

About this Course

  • 46 students enrolled
  • 4 instructors

Course Description

This course introduces the principles of digital signal processing. The students will be exposed to MATLAB mathematical software to generate computer implementations of the techniques for signals and systems analysis and design.

Course Learning Outcomes

1 ) Execute techniques in digital signal processing to solve the difference equations of digital signal system.
2 ) Determine appropriate digital filters that meet the desired requirements in solving digital signal system.
3 ) Demonstrate the usage of modern engineering software in designing digital filters in solving digital signal system.

Course Details

STATUS : Open
DURATION : FLEXIBLE
EFFORT : 3 hours per week
MODE : 100% Online
COURSE LEVEL : Intermediate
LANGUAGE : English
CLUSTER : Science & Technology ( ST )

Join this course

 Syllabus

Definition of continuous and discrete time signals; Sampling and quantization in general terms.
Description and manipulation of discrete signals.
Concept of discrete time system and its classification -linearity, memory, time-invariant and causality.

Recursive and non-recursive difference equations.
Definition of finite impulse response (FIR) and infinite impulse response (IIR) type systems.
Impulse response and stability.
Linear convolution.
Classical method of solving difference equation - zero-input and zero-state response.

Simple z-transform; Region of convergence; Poles and zeros; Stability and causality; Properties of z-transform; Inverse z-transform using partial fractions and properties.
Impulse response, Modern method of solving difference equation - zero-input and zero-state response.

Definition, Formulation and Notation Discrete time Fourier series (DFS).
Definition, Formulation, Notation and spectrum representation, Discrete time Fourier transform (DFT); Properties of DFT.
Circular convolution; Computation of DFT by Fast Fourier transform (FFT); Use of DFT and FFT for spectral estimation ?gain and phase.

Categorization of filters; LPF, HPF, BPF and Stop/Reject Band Filter.
Deduction of system response for FIR filters design using windows algorithm; optimal method for equiripple FIR filters.

Deduction of system response for IIR filters design from analogue filters.

Our Instructor

PROFESOR MADYA IR DR NOR AZLAN BIN OTHMAN

 Course Instructor
UiTM Kampus Permatang Pauh

PROFESOR MADYA IR DR SITI NORAINI BINTI SULAIMAN

 Course Instructor
UiTM Kampus Permatang Pauh

DR. ROZAN BOUDVILLE

 Course Instructor
UiTM Kampus Permatang Pauh

PROFESOR MADYA IR DR NOR SALWA BINTI DAMANHURI

 Course Instructor
UiTM Kampus Permatang Pauh

 Frequently Asked Questions

A1 : Matlab, Simulink

A2 : 50%