此课程适用人群: This course is primarily designed for STEM undergraduates who have already completed classes in calculus and linear algebra. It is also ideal as a Digital Signal Processing primer for students interested in a mathematically solid introduction to the subject. Note that this class is NOT a hands-on, applied DSP course. While many programming examples are provided, the focus is on the theory and not on the implementation.


制作方:   洛桑联邦理工学院

  • Paolo Prandoni

    教学方:    Paolo Prandoni, Lecturer

    School of Computer and Communication Science

  • Martin Vetterli

    教学方:    Martin Vetterli, Professor

    School of Computer and Communication Sciences
级别Intermediate
承诺学习时间8-10 hours/week
语言
English
如何通过通过所有计分作业以完成课程。
用户评分
4.7 stars
Average User Rating 4.7查看学生的留言
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每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

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制作方
洛桑联邦理工学院
评分和审阅
已评分 4.7,总共 5 个 72 评分

Excellent teaching of digital signal processing theory and techniques. Even form an engineering student who already has most on the material, is a very good review source.

Good one

The content of this course is really useful and contains the key points of digital signal processing.

This is a great review and reference for the fundamental knowledge of DSP. The class uses the concept of vector space and basis to explain all the linear transform in signal processing, which helps my understand of the material. You probably need some background of college sophomore and junior level math and system knowledge, but the math in this class is not dull. Rather, it focuses on applying on practical problems, especially on music signal process.

In the filter section, there are not much material about windowing. But in general, the material is adequate as an entry level class of DSP.

The only thing I don't like of the class is it does not provide the lecture slides. I like to take notes when watching the video, and I found it much easier to go back reviewing the material or looking for reference when there is a paper copy in hand than digging into dozens of videos.