AI & Signal Processing (EC-802 (A)) - Important Questions

Differentiate between Artificial Intelligence, Machine Learning, and Deep Learning.

Define Artificial Intelligence and describe its real-world applications.

Give real-life examples of AI and differentiate between Natural (Human) Intelligence and Artificial Intelligence.

What is Utility theory and its importance in AI? Explain with the help of suitable examples.

Explain forward chaining and backward chaining in expert systems, with examples and advantages and disadvantages.

Explain the trade-offs between expressiveness and computational efficiency in knowledge representation.

Define knowledge in AI and explain its importance.

Describe the key components, advantages, and limitations of knowledge-based systems.

Explain the relationship between AI and knowledge and differentiate declarative vs procedural knowledge.

Explain the different types of Machine Learning (supervised, unsupervised, and reinforcement learning) and their differences, including the relation of Machine Learning to Artificial Intelligence.

What are the challenges in generalization and overfitting?

What is a decision tree, how does it support learning, and how does the ID3 algorithm construct decision trees?

What is overfitting in decision trees and how can it be prevented?

Explain Markov Model in detail and its applications in Artificial Intelligence.

Explain Bayesian Network / Belief Network and its importance with an example.

Explain Machine Learning, illustrate the learning model, and mention factors that affect learning.

Compare the decision tree method with Naive Bayes learning.

Compute the eight-point DFT circular convolution for the following sequences.

$x_{2}(n) = \sin 3\pi n/8$

State and prove the circular convolution property of DFT and the DFT property for real and even sequences.

Given DFT $X(k)$ of $x(n)$, find DFT $G(k)$ of $g(n) = W_N^{-ln} x(n)$ (frequency-shift / modulation property).

Explain what polyphase decomposition is, how it works, and how FIR filters are used in it

What is the difference between upsampling and downsampling?

What are the challenges in changing the sampling rate of a signal?

Write short notes on: (any two)

What do you mean by "Quadrature mirror filter banks"? Also explain How many types of filter banks are there in multi rate signal processing?