Advanced Digital Signal Processing
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Follow on Instagram for UpdatesAdvanced Digital Signal Processing Syllabus — Unit-wise Content
The official GTU curriculum for Advanced Digital Signal Processing (subject code ME01000311) as prescribed for EAC( · Semester 1 divides the course into 5 units, covering 28 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME01000311)Unit 1 Introduction
- Overview of DSP, Characterization in time and frequency
- FFT Algorithms
- Digital filter design and structures: Basic FIR/IIR filter design &structures
- design techniques of linear phase FIR filters
- IIR filters by impulse invariance
- bilinear transformation
- FIR/IIR Cascaded lattice structures, and parallel realization of IIR
Unit 2 Multi rate DSP
- Decimators and Interpolators
- Sampling rate conversion
- multistage decimator & interpolator
- poly phase filters, QMF, digital filter banks
- Applications in sub-band coding
Unit 3 Filters
- Linear prediction & optimum linear filters
- stationary random process
- forward-backward linear prediction filters
- solution of normal equations
- AR Lattice and ARMA Lattice-Ladder Filters
- Wiener Filters for Filtering and Prediction
Unit 4 Adaptive Filters
- Gradient Adaptive Lattice
- Minimum mean square criterion
- LMS algorithm
- Recursive Least Square algorithm
Unit 5 Spectral Estimation
- Estimation of Spectra from Finite-Duration Observations of Signals
- Nonparametric Methods for Power Spectrum Estimation
- Parametric Methods for Power Spectrum Estimation
- Minimum-Variance Spectral Estimation
- Eigen analysis Algorithms for Spectrum Estimation
- Program Name: Master of Engineering Level: PG Branch: Electronics & Communication (Communication System Engineering) Course / Subject Code:ME01000311 Course / Subject Name : Advanced Digital Signal Processing
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