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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
Discipline: Electrical Engineering
Specialization: DSP for Communications and Signal Processing