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EE-966 Detection and Estimation
Campus
College of E&ME
Programs
PG
Session
Summer Semester 2016
Course Title
Detection and Estimation
Course Code
EE-966
Credit Hours
3-0
Pre-Requisutes
Nil
Course Objectives
The objective of this graduate-level course is to provide an in-depth coverage of the Detection and Estimation. It will serve to prepare the students to undertake research and development related to signal processing techniques involving detection and estimation.
Detail Content
Estimation part
Introduction
Minimum Variance Unbiased Estimators
Cramer-Rao Lower Bound
Linear Models
Best Linear Unbiased Estimators
Maximum Likelihood Estimation
Least Squares
Method Of Moments
Bayesian Estimation.
Detection Part:
Neyman Pearson Theorem
Matched Receivers
Detection of deterministic signals
Detection of stochastic signals
Detection of deterministic signals with unknown parameters
Non Gaussian Detection
Unknown Noise Parameters
Text/Ref Books
Statistical Signal Processing (Detection and Estimation) by Steve Kay
Time Schedule
Summer 2015
Faculty/Resource Person
Dr. Muhammad Salman
PhD (NUST-CEME)
Discipline: Electrical Engineering
Specialization: DSP for Communications and Signal Processing