Digital Signal Processing (DSP) Applications of Communication Systems
EC ENGR X 422.8
This course discusses DSP techniques for communication applications, such as cellular telephones, satellites, and audio/data/CD/video systems, are being revolutionized. This course discusses the technology, theory, practice, economic factors, and practical aspects of these and other communication applications, and presents basic and advanced principle.
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
About this course:
DSP techniques for communication applications, such as cellular telephones, satellites, and audio/data/CD/video systems, are being revolutionized. This course discusses the technology, theory, practice, economic factors, and practical aspects of these and other 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, and z-transforms. Students gain an understanding of practical aspects, such as ADCs, DACs, DSP chips, FPGAs, and ASICs, as well as multirate processing, decimation, interpolation, DFT, IDFT, FFT, and 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, etc. Instruction discusses polyphase filtering and techniques for channelization. The instructor in this course 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.
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