Communication Theory (COMM 502)
Offered By: 
Information Engineering and Technology Faculty
Description
- Information Sources Voice, video, audio, data, multimedia signals
- Shannon Information Theory Information measure, source entropy, noise, redundancy Channel, channel capacity
- Source Coding Discrete and waveform source signals Amplitude quantization, analog / digital conversion Voice and audio signal coding, video signal coding Block coding, transform coding
- Modulation and Demodulation Sampling theorem, Pulse-Amplitude-Modulation (PAM) Sinusodial modulation techniques, Pulse modulation techniques Demodulation
- Transmission Theory Line theory, attenuation, delay, distortion, equalization Efficiency of transmission systems, noise representation, Signal-to-noise ratio, bit error probability, system optimization
- Filters Lowpass, highpass and bandpass filters