Discrete-Time Signal Processing detail syllabus for Medical Electronics (Med Ele), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (EC8553), Category (PC), Contact Periods/week (4), Teaching hours/week (4), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other med ele 5th sem syllabus for be 2017 regulation anna univ you can visit Med Ele 5th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for discrete-time signal processing is as follows.”
Course Objective:
- To learn discrete fourier transform, properties of DFT and its application to linear filtering
- To understand the characteristics of digital filters, design digital IIR and FIR filters and apply these filters to filter undesirable signals in various frequency bands
- To understand the effects of finite precision representation on digital filters
- To understand the fundamental concepts of multi rate signal processing and its applications
- To introduce the concepts of adaptive filters and its application to communication engineering
Unit I
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Unit II
Infinite Impulse Response Filters
Characteristics of practical frequency selective filters. characteristics of commonly used analog filters – Butterworth filters, Chebyshev filters. Design of IIR filters from analog filters (LPF, HPF, BPF, BRF) – Approximation of derivatives, Impulse invariance method, Bilinear transformation. Frequency transformation in the analog domain. Structure of IIR filter – direct form I, direct form II, Cascade, parallel realizations.
Unit III
Finite Impulse Response Filters
Design of FIR filters – symmetric and Anti-symmetric FIR filters – design of linear phase FIR filters using Fourier series method – FIR filter design using windows (Rectangular, Hamming and Hanning window), Frequency sampling method. FIR filter structures – linear phase structure, direct form realizations
Unit IV
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Unit V
Introduction To Digital Signal Processors
DSP functionalities – circular buffering – DSP architecture – Fixed and Floating point architecture principles – Programming – Application examples.
Course Outcome:
At the end of the course, the student should be able to
- Apply DFT for the analysis of digital signals and systems
- Design IIR and FIR filters
- Characterize the effects of finite precision representation on digital filters
- Design multirate filters
- Apply adaptive filters appropriately in communication systems
Text Books:
- John G. Proakis and Dimitris G.Manolakis, Digital Signal Processing – Principles, Algorithms and Applications, Fourth Edition, Pearson Education / Prentice Hall, 2007. (Unit I – V)
References:
- Emmanuel C. Ifeachor and Barrie. W. Jervis, Digital Signal Processing, Second Edition, Pearson Education / Prentice Hall, 2002.
- A. V. Oppenheim, R.W. Schafer and J.R. Buck, Discrete-Time Signal Processing, 8th Indian Reprint, Pearson, 2004.
- Sanjit K. Mitra, Digital Signal Processing – A Computer Based Approach, Tata Mc Graw Hill, 2007.
- Andreas Antoniou, Digital Signal Processing, Tata Mc Graw Hill, 2006.
For detail syllabus of all other subjects of BE Med Ele, 2017 regulation do visit Med Ele 5th Sem syllabus for 2017 Regulation.
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