Section-A
SPECTRAL ANALYSIS :
Fourier Series, Fourier transforms, Convolution Theorem, Correlation, Cross-Correlation and
autocorrelation.
Section-B
INFORMATION THEORY :
Introduction to information and entropy, channel capacity for discrete and continuous channels, Shannon‟s
Theorem, Shannon-Hartley Theorem, Noisy channels, coding theory : Shannon-Fano coding, minimum
redundance coding, maximization of entropy of a continuous message transmission rate, effect of medium
on the information, selection of channels ,effect of noise and its minimization.
Section-C
RANDOM SIGNAL THEORY :
Representation of random signals, concept of probability, probability of joint occurrence, conditional
probability, discrete probability theory, continuous random variables, probability distribution function,
probability density function, joint probability density functions.
Section-D
RANDOM SIGNAL THEORY :
Statistical average and moments, Ergodic processes,
correlation Function, power spectral density, central limit theory, response of linear system to random
signals. Error function
Covariance relation among the spectral densities of the two input-output random processes. Cross
spectral densities, optimum filters. Introduction to Linear Block Code abd cyclic Codes