Course focus:
- Analog and digital communication systems with more emphasis on digital
  communications 
- Basics of communication theory and applications
- Application of basic knowledge on probability, Fourier analysis and linear
  system  to analyze communication systems and solve communication problems
- A practical approach will be taken along with Matlab experiments


--- OUTLINE AND TOPICS THAT ARE PLANNED TO BE COVERED IN THIS COURSE ----

- Overview of Communication systems

- Review of background materials on Fourier analysis, probability and random
  process

- Signals and Spectra, time domain and frequency domain analysis of
  communication systems

- Sampling, quantization and source coding

- Baseband pulse and digital signaling

- Multiple Access
   FDMA, TDMA, CDMA

- AM, FM, and Digital modulated Systems

- Communication system design, trade off between power efficiency, bandwidth
  efficiency and system complexity

- Performance of communication systems corrupted by noise or receivers
  for disturbed channels model for the channel
    . guided channels and their characteristics
    . radio channel
    . time varying channel model
    . channel correlation in time and frequency
    . noise
    . ISI

- Wired and wireless communication systems

- Multi-carrier modulation
- Spread spectrum communication systems
- Overview of advanced topics in communication systems