COVID-19 updates and fall semester information.
Signals and Systems is designed to educate the student in the basics of signal processing using digital techniques. It starts with a comparison of analog and digital processing methods. Then the digital signal characteristics and mathematical representations are discussed, followed by a discussion of algorithms for their generation and analysis. Next the sampled data z-transform variable is introduced, and its properties explored. This transform is used to analyze FIR and IIR filters, showing the links between the time and frequency domains. Once the analysis process is understood, the same transform is employed to design FIR and IIR filters. The course ends with a student's project and presentation related to audio signals applications using LabVIEW, MATLAB and/or Audacity.