Statistical Signal Analysis
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Follow on Instagram for UpdatesStatistical Signal Analysis Syllabus — Unit-wise Content
The official GTU curriculum for Statistical Signal Analysis (subject code 2720501) as prescribed for EAC( · Semester 2 divides the course into 5 units, covering 27 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 (2720501)Unit 1 Probability Models in Electrical and Computer Engineering
- Mathematical Models as Tools in Analysis and Design
- Deterministic models
- Probability models: Statistical regularity
- building a probability model
Unit 2 Basic Concepts of Probability Theory
- The sample space
- Set operations
- Discrete sample space
- continuous sample space
- sampling with replacement and with ordering
- sampling without replacement and with ordering
- conditional probability, and independence of events
Unit 3 Random variables
- The notion of random variables
- cumulative distribution function
- the probability distribution function
- discrete random variable
- continuous random variable
- functions of random variables
- expected value of random variables
- Markov and Chebyshev Inequality
Unit 4 Multiple Random variable
- Vector random variable
- Pairs of random variable
- Independence of two random variables
- conditional probability and conditional expectation
- multiple random variables
- functions of several random variables
Unit 5 Sums of Random Variables and Long Term Averages
- Sums of random variables
- the sample mean and the laws of large numbers
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