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Course Description
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Course Name
Digital Signal Processing
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Host University
Pontificia Universidad Católica del Perú
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Location
Lima, Peru
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Area of Study
Computer Science
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Language Level
High Advanced
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Credits
3 -
Recommended U.S. Semester Credits0
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Recommended U.S. Quarter Units0
Hours & Credits
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Overview
This course introduces the basic concepts to analyze discrete-time signals and systems. The student will develop the necessary skills to apply theoretical concepts in the activities that involve digital signal processing. The laboratory sessions will be focused to evaluate the application of the theoretical background as well as a high-level programming skill in simulation environments.
This course covers the fundamental concepts of digital signal processing. The students will learn about sampling theorem, discrete convolution and correlation of signals, linear systems, time frequency analysis, discrete Z transform, and discrete Fourier transform. In addition, the course covers the use of digital filters and adaptive filter to enhance the input signal. An introduction of digital image processing in the spatial domain will also be in the scope of the course.
Course Disclaimer
Please note that there are no beginning level courses offered in this program.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.