Course Description
This course explores elements of the theory and practice of digital communications. The course will 1) model and study the effects of channel impairments such as distortion, noise, interference, and fading, on the performance of communication systems; 2) introduce signal processing, modulation, and coding techniques that are used in digital communication systems. The concepts/ tools are acquired in this course:
Signals and Systems
Classification of signals and systems
Orthogonal functions, Fourier series, Fourier transform
Spectra and filtering
Sampling theory, Nyquist theorem
Random processes, autocorrelation, power spectrum
Systems with random input/output
Source Coding
Elements of compression, Huffman coding
Elements of quantization theory
Pulse code Modulation (PCM) and variations
Rate/bandwidth calculations in communication systems
Communication over AWGN Channels
Signals and noise, Eb/N0
Receiver structure, demodulation and detection
Correlation receiver and matched filter
Detection of binary signals in AWGN
Optimal detection for general modulation
Coherent and non-coherent detection
Communication over Band-limited AWGN Channel
ISI in band-limited channels
Zero-ISI condition: the Nyquist criterion
Raised cosine filters
Partial response signals
Equalization using zero-forcing criterion
Channel Coding
Types of error control
Block codes
Error detection and correction
Convolutional codes and the Viterbi algorithm
Communication over Fading Channel
Fading channels
Characterizing mobile-radio propagation
Signal Time-Spreading
Mitigating the effects of fading
Application of Viterbi equalizer in GSM system
Application of Rake receiver in CDMA system
Comments, questions, feedback, criticisms?
Send feedback
- E-mail the author of the module, Course Description
Footer
More about this content: Metadata | Version History
This work is licensed by Tuan Do-Hong under a Creative Commons Attribution License (CC-BY 2.0).
Last edited by Tuan Do-Hong on Nov 15, 2007 10:32 am US/Central.