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.

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What you can learn.

  • 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. Software applications such as System View, Mat Lab, and MathCad for the solution of DSP problems in the communication field are demonstrated.

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This course applies towards the following certificates & specializations…

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