Signal Processing and Linear Systems OpenCourseWare: A Free Undergraduate EE Course on Signal Processing by USU
This OpenCourseWare from Utah State University's Department of Electrical and Computer Engineering focuses on analyzing the function and design of electrical systems using analytical techniques of discrete-time systems and vector-space concepts. This undergraduate-level course from USU is intended for students studying Mathematics, Engineering or related fields.
Signals and Systems: Course Specifics
Degree Level | Free | Audio | Video | Downloads |
---|---|---|---|---|
Undergraduate | Yes | No | No | Yes |
Lectures/Notes | Study Materials | Tests/Quizzes |
---|---|---|
Yes | Yes | No |
Signals and Systems: Course Description
'Signals and Systems' provides comprehensive information about signal processing, through the discrete-time dynamic signals used for data processing used in many systems. Z-transform techniques are also introduced, which are used in discrete time signals and systems. Tools and techniques are then discussed, as well as how systems can be built using basic trigonometric functions. Fourier series, complex mathematical systems with applications in signal processing are discussed in detail. This free OpenCourseWare from Utah State University use these fundamentals to help students to learn from and prove a variety of sampling theorems. Students can then study the practical applications of transfer functions, state-space analysis, generalized time-varying systems and multi-input or output systems. This undergraduate-level course is taught by USU Professor Todd K. Moon.
Lecture notes, homework assignments and additional resources are available for free download. To learn more, visit the signals and linear systems course page.
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