Adaptive Signal Processing
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Follow on Instagram for UpdatesAdaptive Signal Processing Syllabus — Unit-wise Content
The official GTU curriculum for Adaptive Signal Processing (subject code 2720505) as prescribed for EAC( · Semester 2 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 (2720505)Unit 1 Linear Prediction and Optimum Linear Filters
- Correlation Functions and Power Spectra
- Innovations Representation of a Stationary Random Process
- Forward and Backward Linear Prediction
- Solution of Normal Equations
- Properties of Linear Prediction – Error Filters
- AR Lattice and ARMA Lattice-Ladder Filters
- Wiener Filters for filtering and Prediction
Unit 2 Algorithms for Adapting FIR Filters
- Search Techniques
- Gradient search Approach
- Least Mean Square Algorithm
- Recursive Least Squres Algorithms
Unit 3 Algorithms for Adapting IIR Filters
- IIR Modeling
- Gradient Descent Minimization of squared Prediction Error
- Parameter Identification format and Stability theory Interpretation
- Filtered Error and Filtered-Regressor Algorithms
- Steiglitz- McBridge Algorithm
- IIR whitner
- ARMAX modeling
Unit 4 Frequency-Domain and Subband Adaptive Filters
- Block Adaptive Filters
- Fast Block-LMS algorithm
- Unconstrained Frequency- Domain Adaptive Filters
- Self-Orthogonalising Adaptive Filters
- Adaptive Equalization
- Subband Adaptive Filters
- Classification of Adaptive Filtering Algorithms
Unit 5 Kalman Filters
- Innovations Process
- Estimation of the State Using the Innovations ProcessKalman Filter as the Unifying Basis for RLS filters
- Variations of the Kalman Filter
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