Digital Signal Processing 3: Analog vs Digital に戻る
スイス連邦工科大学ローザンヌ校（École Polytechnique Fédérale de Lausanne） による Digital Signal Processing 3: Analog vs Digital の受講者のレビューおよびフィードバック
63件の評価
コースについて
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices.
The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice.
To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course.
人気のレビュー
MT
2020年7月6日
Great course with nice examples. However I got stuck on week 3 quiz for a long time which was a little tricky, but otherwise the tests were also good and they checked the concepts well.
BL
2022年1月28日
Excellent continuation to EPFL's DSP series. Mathematically rigorous but highly applicable.
フィルター：
Digital Signal Processing 3: Analog vs Digital： 1 - 4 / 4 レビュー
by Mrinal T
•2020年7月7日
Great course with nice examples. However I got stuck on week 3 quiz for a long time which was a little tricky, but otherwise the tests were also good and they checked the concepts well.
by Brian L
•2022年1月28日
Excellent continuation to EPFL's DSP series. Mathematically rigorous but highly applicable.
by Vamshi V
•2021年6月19日
nice course
by Anil K
•2021年5月21日
Good
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