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CSE 4631 - Digital Signal Processing

CSE 4631 is an optional course offered to 6th semester CSE students. The course is accompanied by the lab where we will use MATLAB to implement different concepts, algorithms and applications taught in the theory class.
This page will contain the up-to-date information about the course progress, lectures, quizzes, assignments and everything else. 
See the attached course information for the textbook, syllabus and lesson plan.


Final Exam: The syllabus of the Final exam is all the materials excluding the first three weeks. 

Quiz 4: The syllabus for quiz 4 is all the filter related chapters, scheduled on Wednesday, 11 September.

Quiz 3: Quiz 3 will take place on Friday, 30 August at 2.00 pm in your classroom. The syllabus is Chapter 8,9 and 10 of Smith- covered in weeks 8, 9 and 10.

Quiz 2: Quiz 2 will take place on Friday, 28 June at 10.30 pm in your classroom. The syllabus is Chapter 5 of Smith and 2.1, 2.2 of Proakis.

Quiz 1: Quiz 1 will (at last!) take place on Thursday, 13 June at 2.00 pm in your classroom. The syllabus is everything covered until Week 3 excluding Chapter 5 of Smith.

Timeline:

  • Week 1: Introduction
    • Breadth and Depth of DSP [Chapter 1, Smith]
    • Signals, systems and signal processing; Classification of signals  [1.1, 1.2, Proakis]
  • Week 2: Signals, Systems, Basics
    • Frequency in CT and DT Signals [1.3, Proakis]
    • Statistics, Probability and Noise [Chapter 2, Smith- Up to page 19]
  • Week 3: ADC, DAC
    • 1.4, Proakis
  • Week 4: Linear Systems, DT Signals and Systems
    • Chapter 5, Smith: Signals and Systems, Requirements for Linearity, Static Linearity & Sinusoidal Fidelity, Examples
    • Chapter 5, Smith: Special Properties of Linearity, Superposition, Common Decompositions, Alternatives to Linearity
    • Chapter 2, Proakis 2.1
  • Week 5: DT Signals and Systems, Convolution
    • Chapter 2, Proakis 2.2
    • Chapter 6, Smith: Convolution
    • 2.3.3, Proakis
  • Week 6: Convolution: Properties
    • Chapter 7, Smith: Properties of Convolution
    • Proakis, 2.3.4: Properties of Convolution
  • Week 7: Correlation, Discrete Topics
    • Chapter 7: Smith: Correlation
    • Example 2.6.1, Smith
    • 2.3.7, Proakis: FIR and IIR Systems
    • 2.4.1, 2.5.1, Proakis
      ======= Mid-Semester Examination ====== 
  • Week 8: Discrete Fourier Transform (DFT): Chapter 8, Smith
    • Family of Fourier Transform, Notation and Format of DFT
    • Frequency domain's Independent variable, DFT Basic Functions
    • Synthesis, Analysis, Duality, Polar Notation, Polar Nuisance 
  • Week 9: Applications of DFT, Properties of DFT
    • Spectral Analysis of Signals [Page 169, Chapter 9, Smith]
    • Frequency Response of Systems, Convolution via the Frequency Domain [Page 177-184, Chapter 9, Smith]
  • Week 10: Fourier Transform Properties : Chapter 10, Smith
    • Linearity, Characteristics of the phase, Periodic Nature of DFT [Page 185-200]
    • Multiplying signals, DTFT [Page 204-207]
  • Week 11: The Fast Fourier Transform, Introduction to Digital Filters
    • Real DFT Using Complex DFT, How the FFT works, Speed and precision comparison  [Chapter 12, Smith Page 225-232, 237-238]
    • Introduction to Digital Filters [Chapter 14, Smith]
  • Week 12: Filters
    • Moving Average Filters [Chapter 15, Smith]
    • Windowed-Sinc Filters [Chapter 16, Smith]
  • Week 13: Filters
    • Custom Filters [Chapter 17, Smith, Pages 297-300, 307-310]
  • Week 14: z-Transform
    • The z-Transform, Properties [Chapter 3, Proakis, Pages 147-170 Excluding the following - Differentiation in z-domain, Multiplication of two sequences, Parseval's relation, The Initial Value Theorem]
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Mohiuddin Khan,
May 21, 2013, 10:18 PM
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