Topic outline

  • Digital Signal Processing (DSP)


    • Short Profile  of Professor Dr. A.K.M. Fazlul Haque


      Professor Dr. A.K.M. Fazlul Haque received his Ph.D. in Computer Science and Engineering from Jahangirnagar University, Bangladesh in 2011. He received his M.Sc. Engineering in Electrical, System Design and Technology, Department of Telecommunication, University of Applied Sciences, Darmstadt, Germany in 2003 . Currently he is holding the post of Associate Dean, Faculty of Engineering and Director, Institutional Quality Assurance Cell (IQAC) at Daffodil International University.

       Professor Haque has authored around 100 (Hundred) referred journal/conference papers in National and International arena.  His achievements include several awards related to teaching, research and supporting student activities. He has supervised more than 200 B.Sc. / M.Sc. thesis at Daffodil International University during the past years.  He is also supervising Four PhD students.

       His research interests center on Telemedicine, Signal Processing, Computer Networking, and Data Communication. In the networking arena, he has almost 12 years experience as Cisco Networking CCNA instructor. He has given numerous invited talks and tutorials in several conference/seminar and workshop. He is the fellow of Bangladesh Computer Society, Member of IEEE and, a life member of Bangladesh Electronic Society and also has membership in Germen Telecommunication Engineers and Cisco Networking.

       Professor Haque has been the member of Quality Assurance Unit, Association University of Asia and Pacific and also the member of International Society for Development and Sustainability.


  • Introduction

    Rationale: Digital Signal Processing (DSP) is one of the hottest areas in circuit branches.  DSP is a regular course for ETE, CSE, IT and EEE students, both in Undergraduate and in Post Graduate Level. DSP has also found applications in all engineering disciplines. However, critical understanding of the concepts from both theoretical and practical dimension is still lacking. This training program will help the faculty and students to bridge this gap and enable them to better concepts for real life applications. Here we learn about MATLAB.

    Objective:   Upon completion of this course student will be able to:

    • Apply digital signal processing fundamentals.
    • Understand the processes of analog-to-digital and digital-to-analog conversion.
    • Master the representation of discrete-time signals in the frequency domain, using z-transform, discrete Fourier transform (DFT), and cosine transform.
    • Understand the implementation of the DFT in terms of the FFT, as well as some of its applications (computation of convolution sums, spectral analysis).
    • Learn the basic forms of FIR and IIR filters, and how to design filters with desired frequency responses.
    • Appreciate relationships between first order low pass, and high pass filters, and between second-order Peaking and Notching filters. Design digital filters using MATLAB.
    • Use appropriate windows to diminish the effect of leakage.
    • Demonstrate the effect of the time window length on the achievable spectral resolution.
    • Learn the design procedures for filter bank.
    • Do a time-frequency analysis of a signal.
    • Become aware of some applications of digital signal processing.

     

  • Lecture-1-2: Signals, System and Signal Processing


  • Lecture-3-4: Classification of Signals


  • Lecture-5-6: Discrete Time Sinusoidal Signal


  • Lecture-7-8: Discrete Time Signal & System Part1


  • Lecture-9-10: Analysis of Discrete-Time Linear Time-Invariant Systems.


  • Lecture-11-13: Discrete Time Signal Classification, Correlation of Discrete Time Signal (Extension)


  • Lecture-14-15-16: Correlation and Convolutions of Discrete Time Signal Part 1



    • Assignment of Digital Signal Processing
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      Description:

      Assignment of Digital Signal Processing

      Assignment Title:  The verification of Associative law of Convolution  by assuming data 

      Student need to follow the below instructions:

      1. Hand writing and make it in pdf is preferable

      2. Cover page with valid information

      3. Aims and objective must be introduced

      4. Introduction of the work is mandatory

      5. Details description of the said topic ( will be announced)

      6. Conclusion and references need to be enclosed

      7. Read the topic from various places, and write it in your way. Tying to copy from others must be avoided.

      8. 3-5 pages are preferable

      9. Submit it within due time.




    • Presentation of Digital Signal Processing Assignment
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      Description:


      Student need to follow the below instructions:

      1. Student may choice any relevant topic from the course of Digital Signal Processing

      2. Video presentation need to be considered ( from mobile ,lab top) and uploaded here

      3. Cover page with valid information ( Student may prepare slide additionally in background during video presentation)

      4. Aims and objective must be introduced

      5. Introduction of the work is mandatory

      6. Brief description of the said topic 

      7. Recording with formal and decent way is mandatory

      8. Read the topic from various places, and present  it in your way. Tying to copy from others must be avoided.

      9. 2-3 minutes of recording  are preferable

      10. Submit it within due time.





    • Midterm Exam Assignment
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      Signal system and signal processing, Classification of signals, the concept of continuous and discrete time signals, Analog to digital and digital to analog conversion, Discrete time signals and discrete time systems, Analysis of discrete time liner and time invariant system. Discrete time system described by difference equation, Correlation and Convolution of discrete time signals.


    • Exercise Assignment
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      Dear Students,

      Submit your exercise work here.

      Regards,



  • Lecture-16-17: The z- transform and It’s Application to the of LTI System part 1


  • Lecture-18-19: The z- transform and It’s Application to the of LTI System part 2


  • Lecture-20: Inversion of the z-Transform.


  • Lecture-21: Frequency Analysis and The z- transform and It’s Application to the of LTI System part 3


  • Lecture: 21-22 Frequency analysis and filter design


  • Math Problem

    Instructions:

    • You will be given your data and requirements related to your assignment in the class. 
    • The last date will be mentioned here. It is worth declare that you have to submit the assignment within due time and the system will be maintained strictly
    • Complete your assignment and submit it in the following "Assignment Submission" page


  • Lecture: 13 Frequency analysis of Discrete-Time Signals Part 2


  • Lecture: 14 Frequency analysis of Discrete-Time Signals Part 3


  • Lecture: 15 Discrete Fourier Transform Part 1


  • Lecture 16: Discrete Fourier Transform Part 2


  • Lecture 17:Discrete Fourier Transform Part 3


  • Lecture 18: Linear Time-Invariant systems as Frequency Selective Filters Part 1


  • Lecture 19: Linear Time-Invariant systems as Frequency Selective Filters Part 2


  • lecture 20: Linear Time-Invariant systems as Frequency Selective Filters Part 3


  • Final Exam-Week

    Final Exam includes:  One sided z transformations, Rational Z transformations, Frequency Analysis, Continuous Fourier Transformation, Discrete Fourier Transformations, Filters, Correlation, and Convolutions.