Digital Signal Processing detailed syllabus for Computer & Communication Engineering (CCE) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the CCE 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 Computer & Communication Engineering 5th Sem scheme and its subjects, do visit CCE 5th Sem 2021 regulation scheme. The detailed syllabus of digital signal processing is as follows.
Course Objectives:
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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
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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 80
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
Practical Exercises
MATLAB / EQUIVALENT SOFTWARE PACKAGE/ DSP PROCESSOR BASED IMPLEMENTATION
- Generation of elementary Discrete-Time sequences
- Linear and Circular convolutions
- Auto correlation and Cross Correlation
- Frequency Analysis using DFT
- Design of FIR filters (LPF/HPF/BPF/BSF) and demonstrates the filtering operation
- Design of Butterworth and Chebyshev IIR filters (LPF/HPF/BPF/BSF) and demonstrate the filtering operations
- Study of architecture of Digital Signal Processor
- Perform MAC operation using various addressing modes
- Generation of various signals and random noise
- Design and demonstration of FIR Filter for Low pass, High pass, Band pass and Band stop filtering
- Design and demonstration of Butter worth and Chebyshev IIR Filters for Low pass, High pass, Band pass and Band stop filtering
- Implement an Up-sampling and Down-sampling operation in DSP Processor
Course Outcomes:
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Text Books:
- John G. Proakis and Dimitris G.Manolakis, Digital Signal Processing – Principles, Algorithms and Applications, Fourth Edition, Pearson Education / Prentice Hall, 2007.
- V. Oppenheim, R.W. Schafer and J.R. Buck, “Discrete-Time Signal Processing^, 8th Indian Reprint, Pearson, 2004.
Reference Books:
- 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 Approachll, Tata Mc Graw Hill, 2007.
- Andreas Antoniou, “Digital Signal Processingl, Tata Mc Graw Hill, 2006.
For detailed syllabus of all other subjects of Computer & Communication Engineering, 2021 regulation curriculum do visit CCE 5th Sem subject syllabuses for 2021 regulation.
For all Computer & Communication Engineering results, visit Anna University CCE all semester results direct link.