About the course

Unit 1

Review of probability theory and Stochastic processes

Poisson and Gaussian Process

Noise

Narrowband Noise

Sinewave plus Narrowband Noise

Sampling Theory

PAM

Quantization characteristics

PCM

DPCM

Delta Modulation

Adaptive Delta Modulation

Line Codes

Unit 2

AWGN Channel Signalling: Geometric Representation of Signals

Conversion of Continuous AWGN Channel to a vector channel

ASK, QASK, FSK, M-array FSK, BPSK, DPSK, DEPSK, QPSK, M-array PSK, QAM, MSK, GMSK

Coherent and non-coherent detection and other keying techniques

Unit 3

Band Limited Channels: Error rate due to channel noise in a matched filer receiver

Intersymbol Interference

Signal Design for Zero ISI

Raised cosie and square root raised cosine spectrum

Eye pattern

Adaptive equalization

signalling over multiple baseband channel

Fading Channels: Propagation effects

Jakes Model

Statistical Characteristics of wideband wireless channel

Diversity techniques

MIMO, MIMI Capacity for channel known at receiver

OFDM

Spread-spectrum signals

Unit 4

Information Theory: Entropy

Source Coding Theorem

Lossless data compression

Discrete Memoryless channel

Mutual Information

Channel Capacity

Channel Coding Theorem

Differential Entropy and Mutual Information for Continuous Random Ensembles

Information Capacity Law

Error Control Coding: Introduction

Error Control using forward correction

Linear Block Code, Cyclic Codes, Convolutional Codes