Fundamentals Digital Signal Processing detailed syllabus for Information Technology (IT) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the IT students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Information Technology 5th Sem scheme and its subjects, do visit IT 5th Sem 2019 regulation scheme. For Professional Elective-I scheme and its subjects refer to IT Professional Elective-I syllabus scheme. The detailed syllabus of fundamentals digital signal processing is as follows.
Course Objective:
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Unit I
Signals and Systems
Basic Elements of DSP – Concepts of Frequency in Analog and Digital Signals – Sampling Theorem – Discrete – Time Signals, Systems – Analysis of Discrete Time LTI Systems – Z Transform – Inverse Z Transform – Convolution – Correlation.
Suggested Activities:
- In-class activity – Problems based on Z transform Circular and linear convolution.
- Testing of frequency transformation and convolution problems using Matlab.
Suggested Evaluation Methods:
- Tutorials on Z transform circular and linear convolution.
- Assignment problems Z transform.
- Quizzes on signals and systems.
Unit II
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Unit III
IIr Filter Design
Structures of IIR – Analog Filter Design – Discrete Time IIR Filter from Analog Filter – IIR Filter Design by Impulse Invariance, Bilinear Transformation, Approximation of Derivatives -(LPF, HPF, BPF, BRF) Filter Design using Frequency Translation.
Suggested Activities:
- Analog filter design using Butterworth and Chebyshev approximation.
- Filter implementation using Matlab.
Suggested Evaluation Methods:
- Tutorials on IIR filter structures and design.
- Assignments on LPF,HPF, BRF, BRF filter design,
- Quizzes on filter design.
Unit IV
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Unit V
Applications
Multirate Signal Processing: Decimation, Interpolation, Sampling Rate Conversion by a Rational Factor – Adaptive Filters: Introduction, Applications of Adaptive Filtering to Equalization, Echo Cancellation – Speech processing – Image processing – Case Study.
Suggested Activities:
- Signal processing activities using Matlab.
Suggested Evaluation Methods:
- Tutorials on multirate signal processing.
- Assignments on adaptive filters,
- Mini project using Matlab.
Course Outcome:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Text Books:
- John G Proakis, Manolakis, “Digital Signal Processing Principles, Algorithms and Applications”, Fourth Edition, Pearson Education, 2007.
References:
- A. V. Oppenheim, R. W. Schafer, J. R. Buck, “Discrete-Time Signal Processing”, Eighth Indian Reprint, Pearson, 2006.
- I. C. Ifeachor, B.W. Jervis, “Digital Signal Processing – A Practical Approach”, Pearson Education, 2002.
- M. H. Hayes, “Schaums Outline of Theory And Problems of Digital Signal Processing “, Tata McGraw Hill, 1999.
- Sanjit K. Mitra, “Digital Signal Processing: A Computer-Based Approach”, Fourth Edition, The McGraw-Hill Companies, Inc, 2013.
For detailed syllabus of all the other subjects of Information Technology 5th Sem, visit IT 5th Sem subject syllabuses for 2019 regulation.
For all Information Technology results, visit Anna University IT all semester results direct link.