Code EC3492 deals with the subject from the Anna University Regulation 2021, related to affiliated institutions, syllabus of B.E Electronics and Telecommunication Engineering. In this article, we discuss the Digital Signal Processing Syllabus.
We intend to provide the syllabus of EC3492 – Digital Signal Processing, we include the textbooks and references from the faculty of experts. You can get the required information unit-wise. The following links will help you to get proper information. I hope you can find the details in the article given below.
If you want to know more about the syllabus of B.E Computer Science and Engineering (Cyber security) Syllabus connected to an affiliated institution’s four-year undergraduate degree program. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E Electronics and Telecommunication Engineering Syllabus Anna University, Regulation 2021.
Aim of Objectives:
- 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.
EC3492 – Digital Signal Processing Syllabus
Unit – I: Discrete Fourier Transform
Sampling Theorem, concept of frequency in discrete-time signals, summary of analysis & synthesis equations for FT & DTFT, frequency domain sampling, Discrete Fourier transform (DFT) – deriving DFT from DTFT, properties of DFT – periodicity, symmetry, circular convolution. Linear filtering using DFT. Filtering long data sequences – overlap save and overlap-add method. Fast computation of DFT – Radix-2 Decimation-in-time (DIT) Fast Fourier transform (FFT), Decimation-in-frequency (DIF) Fast Fourier transform (FFT). Linear filtering using FFT.
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: Finite Word Length Effects
Fixed point and floating point number representation – ADC – quantization – truncation and rounding – quantization noise – input / output quantization – coefficient quantization error – product quantization error – overflow error – limit cycle oscillations due to product quantization and summation – scaling to prevent overflow.
Unit – V: Dsp Applications
Multirate signal processing: Decimation, Interpolation, Sampling rate conversion by a rational factor – Adaptive Filters: Introduction, Applications of adaptive filtering to equalization-DSP Architecture Fixed and Floating point architecture principles.
Text Books:
- John G. Proakis and Dimitris G.Manolakis, Digital Signal Processing – Principles, Algorithms and Applications, Fourth Edition, Pearson Education/Prentice Hall, 2007.
- A. V. Oppenheim, R.W. Schafer and J.R. Buck, ―Discrete-Time Signal Processing, 8th Indian Reprint, Pearson, 2004.
References:
- Emmanuel C. Ifeachor& Barrie. W. Jervis, “Digital Signal Processing”, Second Edition, Pearson Education/Prentice Hall, 2002.
- 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.
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