T-Squared | Native iOS client for Georgia Tech | iOS library

 by   calda Swift Version: v1.4 License: GPL-3.0

kandi X-RAY | T-Squared Summary

kandi X-RAY | T-Squared Summary

T-Squared is a Swift library typically used in Mobile, iOS, React Native, Xcode applications. T-Squared has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

:books: Native iOS client for Georgia Tech's T-Square learning management system
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            kandi-support Support

              T-Squared has a low active ecosystem.
              It has 14 star(s) with 3 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 5 have been closed. On average issues are closed in 38 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of T-Squared is v1.4

            kandi-Quality Quality

              T-Squared has no bugs reported.

            kandi-Security Security

              T-Squared has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              T-Squared is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              T-Squared releases are available to install and integrate.

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            T-Squared Key Features

            No Key Features are available at this moment for T-Squared.

            T-Squared Examples and Code Snippets

            No Code Snippets are available at this moment for T-Squared.

            Community Discussions

            QUESTION

            Downsampling in MATLAB - why scaling filter coefficients?
            Asked 2018-Mar-19 at 15:02

            Trying to undertsand how MATLAB does resampling, looking at toolbox/signal/resample.m.

            This is the part where low-pass FIR filter coefficients are calculated:

            ...

            ANSWER

            Answered 2018-Mar-19 at 15:02

            In most filters, you want the output magnitude to remain equal after filtering, not scaled up or down.

            Mathematically this is generally properly done in the filter equation, but in discrete numbers this doesnt generally doesn't apply.

            If you divide the filer by its sum, you make sure that for any input data p, the filter will always have a general scale factor of 1, as its normalized. For a p=ones(1:1000,1), if sum(h) is not 1, the result after filtering will be scaled, i.e. the values of p_filtered will not be 1.

            Source https://stackoverflow.com/questions/49363306

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install T-Squared

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/calda/T-Squared.git

          • CLI

            gh repo clone calda/T-Squared

          • sshUrl

            git@github.com:calda/T-Squared.git

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