Course Details
Subject {L-T-P / C} : EE3403 : Digital Signal Processing { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Dr. Shekha Rai
Syllabus
• Module 1: An introduction to signals and systems (10 hours)
o Representation of signals in time domain
o Linear, time-invariant systems.
o Impulse response and convolution sum
o Sampling and Reconstruction of continuous time signals
o Characterization and properties of discrete time signals and systems
• Module 2: Discrete time Fourier transform (12 hours)
o Discrete time Fourier series and its properties
o Discrete time Fourier transform and its properties
o Discrete Fourier transform and its properties
o Fast Fourier transform algorithms
• Module 3: z-transform (6 hours)
o The Z-transform and its properties
o The inverse z-transform
o System function and system stability
o Transform analysis of linear time invariant systems
• Module 4: Digital filter design (10 hours)
o Implementation of structures for discrete time systems
o Design of FIR
o Design of IIR filters
• Module 5: Applications of DSP (2 hours)
Course Objectives
- Understanding the difference between signals and systems.
- Learn the principles of discrete-time signal analysis
- To understand the principles of z-transform and its application in finite difference
- To understand principles of Fourier transform analysis to describe the frequency characteristics of discrete-time signals and systems. <br />5. Understand the principles of signal analysis and its applications to filtering schemes.
Course Outcomes
1. Identify the signals and systems <br />2. Apply the principles of discrete-time signal analysis to perform various signal operation <br />3. Calculate discrete time domain and frequency domain of signals using discrete Fourier series and Fourier transform. <br />4. Develop Fast Fourier Transform algorithms for faster realization of signals and systems. <br />5. Apply the principles of z-transforms for system stability. <br />6. Design digital FIR and IIR filter using windowing and impulse invariant/bilinear transformation respectively <br />.
Essential Reading
- John G.Proakis, Dimitris G. Manolakis, and D Sharma, Digital Signal Processing: Principles, Algorithms and, Pearson Education India , 3rd edition
- A. V. Oppenheim, R. W. Schafer, Digital Signal Processing, Pearson Education , 2004
Supplementary Reading
- Vinay K. Ingle, John G. Proakis,, Digital Signal Processing using MATLAB, Brooks/Cole - Thomson Learning
- S. K. Mitra, Digital Signal Processing: A computer based approach,, TMH , 2001