Signal and System Analysis

At the conclusion of this class the students are expected to be able to:

• Laboratory: Use Matlab to implement signal processing functions and display results.
• Describe continuous and discrete signals in the time and frequency domains
• Describe continuous and discrete systems in the time and frequency domains
• Classify signals
• Classify systems
• Understand and be able to apply the special functions, including impulse, pulse functions
• Perform continuous and discrete time convolution
• Determine the time and frequency characteristics of cascaded systems
• Determine the stability of systems
• Represent of periodic signals using Fourier series and construct spectral plots
• Use Parsaval's theorem for periodic signals to determine signal power
• Use Parsaval's theorem for aperiodic signals to determine signal energy
• Determine the response of linear time-invariant systems to periodic input
• Understand the criteria for distortionless transmission
• Determine the magnitude of harmonic distortion
• Represent aperiodic signals using the Fourier transform
• Understand the properties of the Fourier transform
• Understand the concept of bandwidth and the signal duration/bandwidth relationship
• Represent systems in the frequency domain using the transfer function
• Determine the output of a system given its input.
• Understand the characteristics of ideal filters
• Understand the characteristics of analog filters
• Understand the Sampling Theorem and its application
• Understand the Discrete Fourier Transform and its properties
• Understand the characteristics of digital filters
• Understand the Z-transform and its applications to digital signals and systems
• Understand the Laplace Transform