bee4413 digital signal processing

Faculty of Electrical & Electronics Engineering Universiti Malaysia Pahang

BEE4413

07.07.2010

No. Semakan: FKEE/BEE4413/02 Pg 1 of 3

Course Name

Course Code

Pre Requisite

Course Type

Semester Offered

: Digital Signal Processing

: BEE4413

: -

: Core Program

: BEE Year 4 Semester 2 : BEP : BEC Year 4 Semester 2

Credit Hour

Lecture Hours

Tutorial Hours

Lab Hours

: 3

: 3

: -

: 2

Synopsis This course introduces students to the fundamental principles of

digital signal processing including sampling theorems, z-

transform, Linear Time-invariant systems analysis, Discrete-

Time Systems structures, Filter design and Discrete Fourier

Transform. This course also exposes students to computational

tools (MATLAB) in solving engineering problems related to DSP.

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

CO 01: Evaluate transfer function of a LTI system to

determine the systems difference equation (C6) CO 02: Design various types of digital filter based on a set of

specification (C5)

CO 03: Evaluate the DFT of a sequence and use DFT to

compute the linear convolution of two sequence (C6)

CO 04: Translate filter's transfer function into real-time processing algorithm implementable on software tools

or hardware devices (P6, CTPS6).

CO 05: Conduct independent readings and research in

providing design solution for filter design problem

(A3, LL2).

CO/PO Mapping PO 0

1

PO

02

PO

03

PO

04

PO

05

PO

06

PO

07

PO

08

PO

09

PO

10

PO

11

PO

12

CO 01 X

CO 02 X X

CO 03 X

CO 04 X

CO 05 X

Key Indices:

X: assessed outcomes


BEE4413

07.07.2010


Syllabus

1.0 Introduction to Discrete Signals (3 Hours)

1.1 Definition of DSP

1.2 Difference of Analog and Digital Signal

1.3 Classifications of signals

1.4 Application of DSP

(BT Level 1: Remembering)

2.0 Discrete-Time Signals and Systems (6 Hours)

2.1 Definition of Discrete-Time Signals and Systems

2.2 Discrete-Time Signals representation

2.3 Discrete-Time Signals manipulation

2.4 Classifications of Discrete-Time Systems

2.5 Linear Time-Invariant (LTI) Systems

2.6 Properties of Linear Time-Invariant (LTI) Systems

2.7 Convolution

(BT Level 3: Applying)

3.0 z-Transform (9 Hours)

3.1 Definition of z-Transform

3.1.1 Direct z-transform

3.1.2 Rational z-transform

3.1.3 Properties of z-transform

3.2 Region of Convergence (ROC) of z-Transform

3.3 Stability (BIBO) using poles & zeros

3.4 Inverse z-Transform

3.5 Transfer Function

3.6 Impulse response

3.7 Difference equation

3.8 Frequency response of LTI systems

3.9 Convolution using z-transform technique


4.0 Discrete-Time Systems Structure Realization (6 Hours)

4.1 Introduction to Discrete-Time Systems

4.2 Type of Discrete-Time Systems

4.3 Structure realization

4.3.1 Block diagram

4.3.2 Signal Flow Graph

4.4 Effect of Quantization of Filter Coefficient

4.5 Effect of Round-off Noise


5.0 Filter Design (9 Hours)

5.1 Type of Filter and Specification

5.2 Design of FIR Filter using Window Method

5.3 Design of IIR Filter

5.4 Impulse Invariance Method

5.5 Bilinear Transformation and Frequency Warping

(BT Level 6: Creating)


BEE4413

07.07.2010


6.0 Discrete Fourier Transform (DFT) (6 Hours)

6.1 Introduction to DFT

6.2 Properties and Relationship to z-Transform

6.3 Inverse Discrete Fourier Transform (IDFT)

6.4 Fast Fourier Transform (FFT)

6.5 Inverse Fast Fourier Transform (IFFT)

6.6 Convolution using DFT technique


7.0 Sampling Theorem (3 Hours)

7.1 Periodic Sampling

7.2 Nyquist Theorem and Aliasing

7.3 Sampling rate conversions

(BT Level 2: Understanding)

References 1. Proakis,J.G., Monolakis,D.G., Digital Signal Processing: Principles, Algorithms and Applications, 4th Ed., Prentice Hall, 2007.

2. Mitra,S.K., Digital Signal Processing: A Computer-Based Approach, 3rd Ed., McGraw-Hill, 2005.

3. Hayes, M.H., Schaum's Outline of Theory and Problems of Digital Signal Processing, McGraw-Hill, 1999.

4. Oppenheim,A.V., Schafer,R.W., Discrete-Time Signal Processing, 2nd Ed., Prentice Hall, 1999.

5. Ingle,V.K., Proakis,J.G., Digital Signal Processing using MATLAB, Thompson, 2007

Assessment Assignments 5%

Quizzes 10%

Test 30%

Laboratory 15%

Final Examination 40%

Total 100%

Assessment

Methods

1: Assessment on Knowledge Domain (shorter duration)

Final Examination, Test, Quiz

2: Assessment on Knowledge Domain (longer duration)

Assignment, Project

3: Assessment on Skills and Affective Domains

Presentation, Laboratory Assessment,

Demonstration, Self/Peer/Group Evaluation.

4: Assessment on Report as Final Product

Thesis/Dissertation/Industrial Training Report

Teaching Approach Lecture, Active Learning, Group Project/Assignment

Course Homepage

bee4413 digital signal processing

Documents