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Signal Processing


About This Course

The course aims to provide students with basic knowledge of signal processing, especially digital signal processing, which is widely used in speech processing, image processing and digital communication in general. In addition, this course also introduces students to areas where signal processing will be applied, presentation skills and team work, thinking and methodology needed to work in a scientific and technology environment after graduation.

The course provides fundamental concepts of signal and signal processing system, basic characteristics of signal and signal processing system in time domain and frequency domain. The Laplace transform, Z transform and Fourier transform are presented as tools commonly used for analyzing and designing signal processing systems. This course also equips students with general knowledge about FIR and IIR digital filters and the basic characteristics of these two types of filters.


Prerequisite: No
Prior course: No
Paralell course: No

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