Digital Signal Processing Cse 6th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective I) detail syllabus for Computer Science & Engineering (Cse), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (IT8071), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other cse 6th sem syllabus for be 2017 regulation anna univ you can visit Cse 6th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective I subjects do refer to Professional Elective I. The detail syllabus for digital signal processing is as follows.
Course Objective:
- To understand the basics of discrete time signals, systems and their classifications.
- To analyze the discrete time signals in both time and frequency domain.
- To design lowpass digital IIR filters according to predefined specifications based on analog filter theory and analog-to-digital filter transformation.
- To design Linear phase digital FIR filters using fourier method, window technique
- To realize the concept and usage of DSP in various engineering fields.
Unit I
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Unit II
Analysis of Lti Discrete Time Signals and Systems
Analysis of LTI Discrete Time Systems using DFT-Properties of DFT-Inverse DFT- Analysis of LTI Discrete Time Systems using FFT Algorithms- Inverse DFT using FFT Algorithm.
Unit III
Infinite Impulse Response Filters
Frequency response of Analog and Digital IIR filters-Realization of IIR filter-Design of analog low pass filter-Analog to Digital filter Transformation using Bilinear Transformation and Impulse Invariant method-Design of digital IIR filters (LPF, HPF, BPF, and BRF) using various transformation techniques.
Unit IV
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Unit V
Applications of Dsp
Multirate Signal Processing: Decimation, Interpolation, Spectrum of the sampled signal -Processing of Audio and Radar signal.
Course Outcome:
At the end of the course, the students should be able to:
- Perform mathematical operations on signals.
- Understand the sampling theorem and perform sampling on continuous-time signals to get discrete time signal by applying advanced knowledge of the sampling theory.
- Transform the time domain signal into frequency domain signal and vice-versa.
- Apply the relevant theoretical knowledge to design the digital IIR/FIR filters for the given analog specifications.
Text Books:
- John G. Proakis and Dimitris G.Manolakis, Digital Signal Processing – Principles, Algorithms and Applications, Fourth Edition, Pearson Education / Prentice Hall, 2007.
References:
- Richard G. Lyons, Understanding Digital Signal Processing. Second Edition, Pearson Education.
- A.V.Oppenheim, R.W. Schafer and J.R. Buck, Discrete-Time Signal Processing, 8th Indian Reprint, Pearson, 2004.
- Emmanuel C.Ifeachor, and Barrie.W.Jervis, Digital Signal Processing, Second Edition, Pearson Education / Prentice Hall, 2002.
- William D. Stanley, Digital Signal Processing, Second Edition, Reston Publications.
For detail syllabus of all other subjects of BE Cse, 2017 regulation do visit Cse 6th Sem syllabus for 2017 Regulation.
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