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About Digital Signal Processing: University of Kurdistan, Iran. Spring 2015
This document provides an overview of a Digital Signal Processing course, including its objectives, textbook, grading policy, and course outline. The course aims to establish a background in DSP theory and develop skills for implementing DSP algorithms. Key topics covered include discrete-time signals and systems, the z-transform, sampling of continuous-time signals, filter design techniques, and the discrete Fourier transform. Examples of DSP applications discussed are sound processing, tomography, MRI, and fMRI.
Detailed Information
| Author: | ['rsdf'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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