FastFIR | 1D real fast FIR filtering. It's really fast compared
kandi X-RAY | FastFIR Summary
kandi X-RAY | FastFIR Summary
FastFIR is a C library. FastFIR has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
1D real fast FIR filtering. It's really fast compared to slow filtering!!!. ##API usage with Qt. Include qjfastfir.h and compile and link with qjfastfir.cpp. ##API usage with standard C++. Include jfastfir.h and compile and link with jfastfir.cpp. Demo project requires at least Qt5. Open FastFIR/Demo/Demo.pro with Qt creator and run. Demo compares slow FIR and fast FIR times and low pass filter's noise at 800Hz and outputs this to the default soundcard device. The class QJFilterDesign/JFilterDesign contains the following filter designs as static member functions. The static members for the Qt version are as follows where frequencies are in Hz and Samplerate is in samples per second. These designs return the kernel for use with the FastFir. For example, to create a BPF that has a FIR length of 1001 that covers 1000Hz to 2000Hz and a Samplerate of 48000bps then following code can be used. The QJFastFIRFilter class contains the public member function "Update" that does the processing of the raw input signal/data. Its prototype is as follows. It is designed so that it reads "data", filteres it, then replaces "data" with the filtered responce. It performs internal buffering so that no matter how much data is given to "Update", "Update" will replace every item in "data". Basicly this makes it eaiser to design applications.
1D real fast FIR filtering. It's really fast compared to slow filtering!!!. ##API usage with Qt. Include qjfastfir.h and compile and link with qjfastfir.cpp. ##API usage with standard C++. Include jfastfir.h and compile and link with jfastfir.cpp. Demo project requires at least Qt5. Open FastFIR/Demo/Demo.pro with Qt creator and run. Demo compares slow FIR and fast FIR times and low pass filter's noise at 800Hz and outputs this to the default soundcard device. The class QJFilterDesign/JFilterDesign contains the following filter designs as static member functions. The static members for the Qt version are as follows where frequencies are in Hz and Samplerate is in samples per second. These designs return the kernel for use with the FastFir. For example, to create a BPF that has a FIR length of 1001 that covers 1000Hz to 2000Hz and a Samplerate of 48000bps then following code can be used. The QJFastFIRFilter class contains the public member function "Update" that does the processing of the raw input signal/data. Its prototype is as follows. It is designed so that it reads "data", filteres it, then replaces "data" with the filtered responce. It performs internal buffering so that no matter how much data is given to "Update", "Update" will replace every item in "data". Basicly this makes it eaiser to design applications.
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FastFIR has a low active ecosystem.
It has 27 star(s) with 8 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
FastFIR has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of FastFIR is current.
Quality
FastFIR has 0 bugs and 0 code smells.
Security
FastFIR has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
FastFIR code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
FastFIR does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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FastFIR releases are not available. You will need to build from source code and install.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of FastFIR
FastFIR Key Features
No Key Features are available at this moment for FastFIR.
FastFIR Examples and Code Snippets
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Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
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Install FastFIR
You can download it from GitHub.
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