DIGITAL SIGNAL PROCESSING (Date of document: 6 th May 2014)

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1 Course Code : EEEB363 DIGITAL SIGNAL PROCESSING (Date of document: 6 th May 2014) Course Status : Core for BEEE and BEPE Level : Degree Semester Taught : 6 Credit : 3 Co-requisites : Signals and Systems (EEEB223) Microprocessor Systems (EEEB373) Assessments : Lab reports 15% Individual Assignments 15% Mid-Semester Test 20% Final examination 50% Lecturers : Nur Badariah Ahmad Mustafa, Dato Prof. Dr. Ir. Zainul Abidin Md Sharrif, Dr. Yasmin Hanum Md Thayoob. Course Description : Signal processing is a method of extracting information from signal which in turn depends on the type of signal and the nature of information it carries. Therefore, signal processing is concerned with representing signals in mathematical terms and extracting the information by carrying out algorithmic operations on the signal. A signal can be mathematically expressed in terms of basic functions in original domain of independent variable or it can be expressed in terms of basic functions in transformed domain. In this course we will use tools available in both domains to analyze signals and systems in discrete time domain. Course Objectives : This course deals with the processing of discrete signals and systems, sampling theory, frequency domain analysis, and filters design. At the completion of the course, students should be able to do the following: 1. Compute the discrete- time convolution of two signals. 2. Use the concepts of linearity, time-invariance, causality, and stability to classify a discrete-time system.

2 3. Evaluate the frequency response of a discrete-time, linear time-invariant (LTI) system from its impulse response and vice versa. 4. Understand and be able to apply the definition, properties, and applications of the Discrete-time Fourier Transform (DTFT). 5. Explain and apply sampling theorem, analog to digital and digital to analog conversion. Understand ideal sampling and reconstruction. 6. Design DSP systems for processing continuous-time signals. 7. Be able to apply definition and properties of Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT). 8. Use DTFT, DFT, and FFT to analyze discrete time signals and systems. 9. Be able to use the definition and properties of Z-transform to describe, and analyze the behavior of LTI systems. 10. Describe the input-output characteristics of a LTI system in both time domain and frequency domain. Relate the poles and zeros of the system to its frequency response, phase response, and stability and causality properties. 11. Design and implement different frequency selective Finite Impulse Response (FIR), and Infinite Impulse Response (IIR) filters to meet frequency domain specifications. 12. Describe engineering trade-offs in filter design. Understand linear and nonlinear phase response. Transferrable Skills : Students are required to work in a group of 2 to 3 students to prepare a report on what they learn in laboratory. Each group is required to prepare a written report which is assessed based on the rubric scheme.

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4 Course Outcomes PO1 PO2 PO3 PO4 PO5 PO6 PO9 PO10 PO11 PO12 PO7 PO8 a b c a b a b c a b c a b a b a b c a b

5 1. Represent Infinite Length sequence in term of Time-Domain and Frequency-Domain representation by applying the Discretetime Fourier Transform (DTFT). 2. Explain and apply sampling theorem, analog to digital, digital to analog conversions and signal reconstruction. 3. Determine the Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) of discrete signal. 4. Analyze and describe the behavior of an LTI system according to its poles and zeros and properties of Z- transform.

6 Course Outcomes 5. Design and implement different frequency selective Finite Impulse Response (FIR), and Infinite Impulse Response (IIR) filters to meet frequency domain specifications. 6. Analyze the input output of the linear and nonlinear phase response of an LTI system from the basic structure. 7. Able to simulate the DSP concepts using MATLAB and Real-Time laboratory implementation using DSP board. 8. Able to produce a lab report based on the results of experiment and simulation. PO1 PO2 PO3 PO4 PO5 PO6 PO9 PO12 PO7 PO8 PO10 PO11 a b c a b a b c a b c a b a b a b c a b

7 Assessment-Course Outcomes Matrix: PO2(a) PO2(a) PO2(b) PO2(a) PO2(b) PO2(a) PO5(a) PO9(b) Assessments CO1 CO2 CO3 CO4 CO5 CO6 CO7 CO8 Test Lab Reports Assignment Final Exam PO emphasis: PO2(a) PO2(b) PO5(a) PO9(b) Total Current Coverage (%) Bloom's Coverage (%): Cognitive Psychomotor Affective Low Med High Total Current Coverage (%) Course Outline : 1. Signals and Signal Processing Characterization and Classification of Signals Typical Signal Processing Operations Examples of Typical Signals Typical Signal Processing Applications Why Digital Signal Processing? 2. Discrete-Time Signals and Systems Discrete-Time Signals Typical Sequences and Sequence Representation Discrete-Time Systems Time-domain Characterization of LTI Discrete-Time System Correlation of Signals 3. Discrete-Time Fourier Transform The Continuous-Time Fourier Transform The Discrete-Time Fourier Transform Discrete-Time Fourier Transform Theorems Band-Limited Discrete-Time Signals The Frequency Response of an LTI Discrete-Time System Phase and Group Delays 4. Digital Processing of Continuous-Time Signals Introduction Sampling of Continuous-Time Signals Sampling of Bandpass SIgnals Analog Lowpass Filter Design Design of Analog Highpass, Bandpass, and Bandstop Filters Anti-Aliasing Filter Design Reconstruction Filter Design 5. Finite Length Discrete Transforms

8 The Discrete Fourier Transform Relation Between the Fourier Transform and the DFT and Their Inverses DFT Symmetry Relations Discrete Fourier Transform Theorems Computation of the DFT of Real Sequences Decimation-in-Time and Decimation-in-Frequency 6. Z-Transform Definition and Properties Rational Z-Transform Region of Convergence of a Rational Z-Transform The Inverse Z-Transform Z-Transform Properties The Transfer Function 7. LTI Discrete-Time Systems in the Transform Domain Transfer Function Classification Based on Magnitude Characteristics Transfer Function Classification Based on Phase Characteristics Types of Linear-Phase Transfer Functions Inverse Systems 8. Digital Filter Structures Block Diagram Representation Basic FIR Digital Filter Structures Basic IIR Digital Filter Structures 9. IIR and FIR Filter Design 10. Laboratory: Experiment 1: Generation of Sinusoidal Waveform using MATLAB Experiment 2: Modulation using MATLAB Experiment 3: Digital Process of Continuous-Time Signal using MATLAB Experiment 4: Generation of Sinusoidal Waveform using TMS320C6713 DSP Starter Kit (DSK) Experiment 5: Loop Program Using Interrupt. Inputting Signals to TMS320C6713 DSP Starter Kit (DSK) and Outputting Signals from DSK. Experiment 6: Finite Impulse response Digital Filter (FIR) Implementing Real-Time FIR Digital Filtering Operations using TMS320C6713 DSP Starter Kit (DSK). References: 1. Digital Signal Processing - A Computer Based Approach by S. K. Mitra. (Text Book) Published by McGraw Hill International, Third Edition, Year: Digital Signal Processing - A Practical Approach By E. C. Ifeachor and B. W. Jervis Published by Addision-Wesley, Year Discrete Time signal Processing A. V. Oppenheim, R. W. Schafer with J.R.Buck Published by Prentice-Hall International, Second Edition, Year Signals and Systems by A. V. Oppenheim, A. S. Willsky, and H. S. Nawab. Published by Prentice-Hall International, Second Edition, Year Signal Processing First by James H. McClellan, R. W. Schafer, and M. A. Yo-der. Published by Prentice Hall, Year:2003. What is Program Educational Objectives (PEO)?

9 PEO are objectives that UNITEN graduates should achieve after five (5) years of graduation. What are Programme Outcomes (PO)? PO are the expected traits that UNITEN students should have upon graduation. Summary of BEEE/BEPE/BCCE Programme Educational Objectives (PEO) PEO Program Educational Objectives No. UNITEN produces EE, EP and CC engineering graduates who: PEO1 Practicing engineers in electrical/computer and communication engineering with the ability to venture into energy related business. PEO2 Hold leadership responsibilities and/or establish their own enterprises. PEO3 Have professional qualifications/certifications in electrical/computer and communication engineering related areas. PEO4 Engages in activities to enhance knowledge in their professional works. BEEE/BEPE/BCCE Programme Outcomes (PO) PO No. PO1 PO2 PO3 Program Outcomes Students graduating from the Bachelor of Electrical & Electronics Engineering (BEEE) / Bachelor of Electrical Power Engineering (BEPE) / Bachelor of Computer & Communication Engineering (BCCE) programmes will have the ability to: PO Statements Apply fundamental knowledge of mathematics, science and electrical/computer & communication engineering principles in solving complex problems Identify, formulate, analyse and solve complex electrical/computer & communication engineering problems Design solutions for complex electrical/computer & communication engineering problems that meet specific needs with appropriate consideration for public health and safety, culture, society, and environment. Sub-attributes a) Comprehend the fundamental knowledge of mathematics, science and electrical/computer & communication engineering (C1,C2) b) Apply fundamental knowledge of mathematics, science and electrical/computer & communication engineering principles in solving engineering problems (C3, C4) c) Solve complex engineering problems by relating/incorporating fundamental knowledge of mathematics, science and electrical/computer & communication engineering principles. (C5,C6) a) Identify, formulate and solve electrical/computer & communication engineering problems (C3, C4) b) Evaluate and synthesize the solution to complex electrical/computer & communication engineering problems (C5,C6) a) Illustrate solutions for electrical/computer & communication engineering problems with appropriate consideration for public health and safety. (C3, C4) b) Illustrate solutions for electrical/computer & communication engineering problems with appropriate consideration for culture, society, and environment. (C3, C4) c) Propose solutions for complex electrical/computer & communication engineering problems that meet specific needs with appropriate consideration for public health and safety, culture, society, and environment. (C5,C6)

10 PO No. PO4 PO5 Conduct investigations, interpret data and provide conclusions in investigating complex problems related to electrical/computer & communication engineering Create appropriate techniques, select resources, and apply modern engineering tools to execute complex engineering activities Program Outcomes a) Use research methods for collecting data (C1, C2) b) Analyse and interpret data using engineering principles and appropriate techniques (C3,C4) c) Design & evaluate solutions to complex engineering problems by employing research methods and data interpretation skills (C5,C6) a) Usage of modern tools to execute electrical/computer & communication engineering activities (P1,P2) b) Manipulation of modern tool to execute complex engineering activities (P3,P4) PO6 Apply reasoning in assessing societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice a) Apply reasoning in assessing societal, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice (C3, C4) b) Apply reasoning in assessing health and safety issues and the consequent responsibilities relevant to professional engineering practice (C3, C4) PO7 PO8 PO9 PO10 PO11 PO12 Demonstrate knowledge of the impact of professional engineering solutions in environmental contexts and the need for sustainable development Demonstrate commitment to professional and ethical principles Communicate effectively on complex engineering activities Function effectively as an individual and in a group with the capacity to be a leader Acknowledge the need for, and be able to engage in life-long learning Demonstrate knowledge on project management principles and entrepreneurship skills No sub-attribute (C2,C3) No sub-attribute (A3) a) Communicate effectively by means of oral presentation (P3) b) Communicate effectively by means of report writing (P3) c) Communicate effectively by means of oral presentation and/or report writing on complex engineering activities (P3) No sub-attribute (A4) No sub-attribute (C2) a) Demonstrate knowledge on project management principles (C2,C3) b) Demonstrate knowledge on entrepreneurship skills (C2,C3)

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