ETE

CEC332: Advanced Digital Signal Processing syllabus for ETE 2021 regulation (Professional Elective-II)

Advanced Digital Signal Processing detailed syllabus for Electronics & Telecommunication Engineering (ETE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the ETE 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 Electronics & Telecommunication Engineering 5th Sem scheme and its subjects, do visit ETE 5th Sem 2021 regulation scheme. For Professional Elective-II scheme and its subjects refer to ETE Professional Elective-II syllabus scheme. The detailed syllabus of advanced digital signal processing is as follows.

Course Objectives:

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Unit I

MULTIRATE SIGNAL PROCESSING
Review of Convolution, DFT and ZT, Multirate Signal Processing – Decimation, Interpolation, Sampling Rate Conversion by a rational factor – digital filter banks, sub band coding, Quadrature Mirror Filter.

Unit II

DISCRETE TIME RANDOM PROCESSES
Stationary random processes, Autocorrelation, Rational Power Spectra, Filters for generating random Processes from white noise and inverse filter – AR, MA and ARMA processes – relationship between autocorrelation and the filter parameters.

Unit III

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Unit IV

ADAPTIVE FILTERING
FIR adaptive filters – adaptive filters based on steepest descent method – LMS algorithm – Variants of LMS algorithm – adaptive echo cancellation – adaptive channel equalization – RLS Algorithm.

Unit V

SPECTRUM ESTIMATION
Estimation of power spectra from finite duration observations of signals – Non parametric methods of spectrum estimation – the Bartlett and the Welch method – Parametric spectrum estimation – AR, MA and ARMA.

Practical Exercises

  1. Study of autocorrelation and Cross Correlation of random signals
  2. Design and Implementation of Multirate Systems.
  3. Design and Implementation of Wiener Filter
  4. Design and Implementation of FIR Linear Predictor
  5. Design of adaptive filters using LMS algorithm
  6. Spectrum Estimation using Bartlett and Welch Methods

Course Outcomes:

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Text Books:

  1. John G. Proakis & Dimitris G.Manolakis, —Digital Signal Processing – Principles, Algorithms & Applications, Fourth Edition, Pearson Education / Prentice Hall, 2007.
  2. P. Vaidyanathan, “Multirate systems and filter banks”, Prentice Hall Inc. 1993.

Reference Books:

  1. Monson H. Hayes, “Statistical digital signal processing and modeling”, John Wiley and Sons Inc. New York, Indian reprint 2008.
  2. Haykin, Adaptive Filter Theory, 4th Edition, Pearson Education, New Delhi, 2006.
  3. Sophoncles J. Orfanidis, “Optimum Signal Processing “, McGraw Hill, 2000.

For detailed syllabus of all the other subjects of Electronics & Telecommunication Engineering 5th Sem, visit ETE 5th Sem subject syllabuses for 2021 regulation.

For all Electronics & Telecommunication Engineering results, visit Anna University ETE all semester results direct link.

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