Program Overview

Digital Signal Processing (DSP) Applications of Communication Systems

Course Description

This course discusses DSP techniques for communication applications, such as cellular telephones, satellites, and audio/data/CD/video systems. The course covers the technology, theory, practice, economic factors, and practical aspects of these and other communication applications, and presents basic and advanced principles.

Course Details

• Course Code: EC ENGR X 422.8
• The course is not available this quarter.

Learning Outcomes

Students can expect to learn the following:

• Develop a sound background in Satellite Communication System Design principles
• Perform satellite uplink and downlink budget calculations
• Perform satellite noise temperature, noise figure, system temperature, and Eb/No calculations
• Determine the effects and mechanisms of satellite propagation through the atmosphere
• Learn about satellite transmitters, receivers, antennas, and signal processing fundamentals
• Learn software skills to solve Satellite Communication System Design problems

Course Content

The course discusses DSP techniques for communication applications and presents basic and advanced principles such as:

• Under/over/I&Q channel sampling
• Nyquist criteria
• Aliasing
• Quantization noise
• SNR
• SFDN
• Dynamic range
• Linear systems
• Z-transforms Students gain an understanding of practical aspects, such as:
• ADCs
• DACs
• DSP chips
• FPGAs
• ASICs
• Multirate processing
• Decimation
• Interpolation
• DFT
• IDFT
• FFT
• IFFTs The course explores theoretical and practical aspects of adaptive, FIR, and IIR filtering. Students gain an understanding of DSP techniques for modulators, demodulators, equalization, and other communication components, as well as DDS and NCOs, BER, correlation, and eye patterns. Instruction discusses polyphase filtering and techniques for channelization.

Instruction and Resources

The instructor demonstrates the use of Matlab and other software tools for analysis, simulation, and problem solving. These tools are provided as part of the course fee as an option for student use and will not be part of the course grading criteria.