** 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