How to Install and Uninstall rtfilter.x86_64 Package on Fedora 34

Last updated: November 25,2024

1. Install "rtfilter.x86_64" package

This guide let you learn how to install rtfilter.x86_64 on Fedora 34


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                rtfilter.x86_64
            
                    
    
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2. Uninstall "rtfilter.x86_64" package

Please follow the guidelines below to uninstall rtfilter.x86_64 on Fedora 34:


    
        
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                sudo dnf remove
            
                        
                rtfilter.x86_64
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the rtfilter.x86_64 package on Fedora 34

Last metadata expiration check: 2:08:07 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : rtfilter
Version : 1.1
Release : 13.fc34
Architecture : x86_64
Size : 31 k
Source : rtfilter-1.1-13.fc34.src.rpm
Repository : fedora
Summary : Realtime digital filtering functions for multichannel signals
URL : http://cnbi.epfl.ch/software/rtfilter.html
License : GPLv3 and LGPLv3
Description : rtfilter provides a library written in C implementing realtime digital
: filtering functions for multichannel signals (i.e. filtering multiple
: signals with the same filter). It implements FIR, IIR filters and
: downsampler for float and double data type (both for real and complex
: valued signal). Additional functions are also provided to design few
: usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter...
:
: One of the main differences from other libraries providing digital signal
: processing is that the filter functions have been specifically designed and
: optimized for multichannel signals (from few channels to several hundred).
: If data allows it, the library automatically switch to optimized SIMD
: (Single Instruction Multiple Data) code, allowing to reduce by 3~4 the time
: spent in processing the data.