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EE 210 Linear System Theory

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The EE 210 Linear System Theory course gives the comprehensive overview of continuous and discrete-time signals and sequences and linear systems; properties of the system; Families and attributes of Fourier transform; convolution and correlation; practical calculation Z transformation Analysis of FIR and IIR filters Cascade and parallel structure; Modelling state variables; sampling, filtering and other select applications.

Course objectives and student learning objectives:

1. Learn how to digitally analyze and compute the spectrum of continuous and discrete-time signals using various definitions of Fourier transform and transform properties.

2. Learn how to determine the basic properties and their spectrum, including energy, power, width, torque, etc.

3. Understand how to analyze and digitally perform basic signal operations (such as convolution and correlation) in the time or frequency domain and relate such operations to practical applications.

4. Learn how to evaluate the various properties, such as linearity, shear invariance, causation, and stability, and understand their relationship to system functions.

5. Learn how to analyze the time and frequency response of a linear shift-invariant system for periodic and periodic temporal or spatial inputs in the real and complex frequency domains.

6. Link developed analytical methods with practical applications such as filtration, sampling, imaging, control, communications, biology, and signal processing.

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