- Departments / Centres
Contact Hours and Credits: ( 3 -0- 0 ) 3
The subject aims to make the students to understand the statistical theory of telecommunication, which are the basics to learn analog and digital tele-communication.
Information measure. Discrete entropy. Joint and conditional entropies. Uniquely decipherable and instantaneous codes. Kraft-Mcmillan inequality. Noiseless coding theorem. Construction of optimal codes.
DMC. Mutual information and channel capacity. Shannon’s fundamental theorem. Entropy in the continuous case. Shannon-Hartley law.
Binary hypothesis testing. Baye’s, minimax and Neyman-Pearson tests. Random parameter estimation-MMSE,MMAE and MAP estimates. Nonrandom parameters – ML estimation.
Coherent signal detection in the presence of additive white and non-white Gaussian noise.Matched filter.
Discrete optimum linear filtering. Orthogonality principle. Spectral factorization. FIR and IIR Wiener filters.
Students are able to