Digital Signal Processing detail syllabus for Electrical & Electronics Engineering (Eee), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (EE8591), Category (PC), Contact Periods/week (4), Teaching hours/week (2), Practical Hours/week (2). The total course credits are given in combined syllabus.
For all other eee 5th sem syllabus for be 2017 regulation anna univ you can visit Eee 5th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for digital signal processing is as follows.”
Course Objective:
To impart knowledge about the following topics:
- Signals and systems their mathematical representation.
- Discrete time systems.
- Transformation techniques their computation.
- Filters and their design for digital implementation.
- Programmability digital signal processor quantization effects.
Unit I
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Unit II
Discrete Time System Analysis
Z-transform and its properties, inverse z-transforms; difference equation – Solution by z-transform, application to discrete systems – Stability analysis, frequency response -Convolution – Discrete Time Fourier transform , magnitude and phase representation.
Unit III
Discrete Fourier Transform and Computation
Discrete Fourier Transform- properties, magnitude and phase representation -Computation of DFT using FFT algorithm – DIT &DIF using radix 2 FFT – Butterfly structure.
Unit IV
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Unit V
Digital Signal Processors
Introduction – Architecture – Features – Addressing Formats – Functional modes -Introduction to Commercial DS Processors.
Course Outcome:
- Ability to understand the importance of Fourier transform, digital filters and DS Processors.
- Ability to acquire knowledge on Signals and systems and their mathematical representation.
- Ability to understand and analyze the discrete time systems.
- Ability to analyze the transformation techniques and their computation.
- Ability to understand the types of filters and their design for digital implementation.
- Ability to acquire knowledge on programmability digital signal processor and quantization effects.
Text Books:
- J.G. Proakis and D.G. Manolakis, Digital Signal Processing Principles, Algorithms and Applications, Pearson Education, New Delhi, PHI. 2003.
- S.K. Mitra, Digital Signal Processing – A Computer Based Approach, McGraw Hill Edu, 2013.
- Lonnie C.Ludeman ,Fundamentals of Digital Signal Processing,Wiley,2013
References:
- Poorna Chandra S, Sasikala. B ,Digital Signal Processing, Vijay Nicole/TMH,2013.
- Robert Schilling and Sandra L.Harris, Introduction to Digital Signal Processing using Matlab, Cengage Learning,2014.
- B.P.Lathi, Principles of Signal Processing and Linear Systems, Oxford University Press, 2010 3. Taan S. ElAli, Discrete Systems and Digital Signal Processing with Mat Lab, CRC Press, 2009.
- SenM.kuo, woonseng.s.gan, Digital Signal Processors, Architecture, Implementations and Applications, Pearson,2013
- DimitrisG.Manolakis, Vinay K. Ingle, applied Digital Signal Processing,Cambridge,2012
For detail syllabus of all other subjects of BE Eee, 2017 regulation do visit Eee 5th Sem syllabus for 2017 Regulation.
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