The fractional Fourier transform (FrFT) is a family of linear transformations generalizing the standard Fourier transform (FT). It can be thought of as generalizing the FT to the a-th power, where a need not be an integer.
This coursework is divided into three parts:
i. An online FrFT calculationcloud system. You can use any language/framework/package to develop this cloud system.
ii. A mini-report (no more than 1000 words) shows the basic information, such as progress, findings, and analysis of this group project.
iii. A group presentation of no less than (3*n) slides and no less than (3*n) minutes about this “Online Fractional Fourier Transform (FrFT)
In the group presentations, your team needs to cover all the six following aspects:
- Define what FrFT is and how to use FrFT to analyze an input signal.
- Discuss which platforms (Alibaba or Azure or local machines) do you use.
- Show how you invoke the FrFT function packages
- Show GUI design of users to select new input signals to the cloud system.
- Show how the programs run (provide screenshots and code snippets) and analyze the results.
- Show everyone’s contributions to this group work.
2- Intended learning outcomes (ILOs)
1.Understand basic knowledge of signal processing and matrix manipulation.
2.Understand cloud computing history, concepts, and characteristics.
3.Understand the difference between different cloud computing models.
4.Understand how to develop a signal-processing cloud system.
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