ECE

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

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

Advanced Digital Signal Processing

Course Objectives:

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Unit I

MULTIRATE SIGNAL PROCESSING 6 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

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Unit III

LINEAR PREDICTION AND FILTERING 6 Linear Prediction – Forward and Backward – Wiener filters for filtering and prediction – FIR Wiener Filter – IIR Wiener Filter – Kalman Filter.

Unit IV

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Unit V

SPECTRUM ESTIMATION 6 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:

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Course Outcomes:

Upon successful completion of the course the student will be able to

  1. Comprehend multirate signal processing and demonstrate its applications
  2. Demonstrate an understanding of the power spectral density and apply to discrete random signals and systems
  3. Apply linear prediction and filtering techniques to discrete random signals for signal detection and estimation.
  4. Analyze adaptive filtering problems and demonstrate its application
  5. Apply power spectrum estimation techniques to random signals.

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:

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

For all Electronics & Communication Engineering results, visit Anna University ECE all semester results direct link.

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