EC-802 (A) · AI & Signal Processing/Official Syllabus
AI & Signal Processing (EC-802 (A)) - Official Syllabus
1
Unit 1
Introduction of AI
- What is AI?
- Foundations of AI, History of AI
- Agents and environments
- The nature of the Environment
- Problem solving Agents, Problem Formulation
- Search Strategies
2
Unit 2
Knowledge and Reasoning
- Knowledge-based Agents, Representation, Reasoning and Logic
- Prepositional logic
- First-order logic, Using First-order logic
- Inference in First-order logic
- forward and Backward Chaining
3
Unit 3
Learning
- Learning from observations, Forms of Learning
- Inductive Learning
- Learning decision trees, why learning works
- Learning in Neural and Belief networks
4
Unit 4
Orthogonal transforms
- DFT, DCT and Haar
- Properties of DFT
- Computation of DFT: FFT and structures
- Decimation in time
- Decimation in frequency
- Linear convolution using DFT
- Digital filter structures: Basic FIR/IIR filter structures
- FIR/IIR Cascaded lattice structures
- Parallel allpass realization of IIR transfer functions
5
Unit 5
Multirate signal processing
- Basic structures for sampling rate conversion, Decimators and Interpolators
- Multistage design of interpolators and decimators
- Polyphase decomposition and FIR structures
- Computationally efficient sampling rate converters, Lagrange interpolation, Spline interpolation
- Quadrature mirror filter banks
- Applications in subband coding
Reference Books
- Artificial Intelligence: A Modern Approach
- Artificial Neural Networks
- Artificial Intelligence
- Artificial Intelligence and Expert Systems
- Digital Signal Processing: A Computer-Based Approach
- Digital Signal Processing A Practical Approach
- Digital signal processing and applications with TMS320C6713 and TMS320C6416
- Digital Signal Processing
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