ईई621ए - यादृच्छिक संकेतों का प्रतिनिधित्व एंव विश्लेषण
Prerequisites:
3-0-0-9
Course Contents
Review of probability, random variables, random processes; representation of narrow band signals. Transmission of signals through LTI systems; Estimation and detection with random sequences; BAYES, MMSE, MAP, ML schemes. KL and sampling theorem representations, matched filter, ambiguity functions, Markov sequences, linear stochastic dynamical systems.
Topics
Current Course Information
Instructor(s):
Number of sections:
Tutors for each section:
Schedule for Lectures:
Schedule for Tutorial:
Schedule for Labs: