fir1 | LMS filter implementation in C with Python & JAVA wrappers | Wrapper library

 by   berndporr C Version: 1.8.0.0 License: Non-SPDX

kandi X-RAY | fir1 Summary

kandi X-RAY | fir1 Summary

fir1 is a C library typically used in Utilities, Wrapper applications. fir1 has no bugs, it has no vulnerabilities and it has low support. However fir1 has a Non-SPDX License. You can download it from GitHub.

An efficient finite impulse response (FIR) filter class in C++, JAVA wrapper for Android and Python wrapper. The floating point class offers also adaptive filtering using the least mean square (LMS) or normalised least mean square (NLMS) algorithm.
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            kandi-support Support

              fir1 has a low active ecosystem.
              It has 52 star(s) with 17 fork(s). There are 10 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 0 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of fir1 is 1.8.0.0

            kandi-Quality Quality

              fir1 has 0 bugs and 0 code smells.

            kandi-Security Security

              fir1 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              fir1 code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              fir1 has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              fir1 releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              It has 169 lines of code, 18 functions and 8 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            fir1 Key Features

            No Key Features are available at this moment for fir1.

            fir1 Examples and Code Snippets

            FIR1,How to use it,Generating the FIR filter coefficients
            Cdot img1Lines of Code : 7dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            # Sampling rate
            fs = 1000
            # bandstop between 45 and 55 Hz:
            f1 = 45
            f2 = 55
            b = signal.firwin(999,[f1/fs*2,f2/fs*2])
            
            octave:1> h=fir1(100,0.1);
              
            FIR1,How to use it,Initialisation
            Cdot img2Lines of Code : 5dot img2License : Non-SPDX (NOASSERTION)
            copy iconCopy
            Fir1 fir("h.dat");
            
            Fir1 fir(coefficients)
            
            Fir1fixed fir("h_fixed.dat",12);
            
            Fir1 fir = new Fir1(coeff);
            
            f = fir1.Fir1(coeff)
              
            FIR1,Installation,Linux / Unix / MACOSX: compilation from source
            Cdot img3Lines of Code : 4dot img3License : Non-SPDX (NOASSERTION)
            copy iconCopy
            cmake .
            make
            sudo make install
            sudo ldconfig
              

            Community Discussions

            QUESTION

            Matlab FM Demodulation and Get Rid of Phase Folding Effect
            Asked 2020-Dec-24 at 19:52

            I have a matlab code to Frequency modulation and demodulation a signal. My code is work well for modulation part. My message signal is m and modulated signal is u, code plot the message signal and its integral in one graph for plotting 1. Then signal modulated with carrier and program plots the modulated signal in time domain for plotting 2. After that, by the help of some code blocks program find the frequency spectrum of modulated signal and message signal to plot graph of them for plotting 3. In demodulation part program make some fundamental calculation for FM detection, then to obtain message signal it uses filter. Last part program plots the graph of recovered signal with message signal to compare them. I summarized all code because ı do not know whre is the problem. My problem about plotting 3 when I make zoom graph 3 I see some phase foldings or like it.Graph is not symmetric according to y-axis. I did not solve this problem, I research about them and I decided to use unwrap(). Although I tried a lot, I could not be successful. How can I get rid of this phase folding with unwrap() function. Thank you. My matlab code is ;

            ...

            ANSWER

            Answered 2020-Dec-24 at 18:41
            k = -(length(X)-1)/2:1:length(X)/2;
            

            Source https://stackoverflow.com/questions/65441861

            QUESTION

            writing in Python fir1 matlab with Scipy firwin
            Asked 2020-Jul-17 at 21:15

            I need to translate signal processing Matlab package to Python. And I'm stuck in fir1 function. Fir1 description in Matlab: b = fir1(n,Wn) uses a Hamming window to design an nth-order lowpass, bandpass, or multiband FIR filter with linear phase. The filter type depends on the number of elements of Wn.

            I tried:

            ...

            ANSWER

            Answered 2020-Jul-17 at 21:15

            From Matlab's fir documentation,

            If Wn is a scalar, then fir1 designs a lowpass or highpass filter with cutoff frequency Wn...

            Thus, it seems that providing pass_zero = False might not correspond to Matlab's result. Instead, try pass_zero='lowpass' for proper comparison.

            Source https://stackoverflow.com/questions/62953733

            QUESTION

            confusion regarding matlab command "fir1"
            Asked 2020-Jul-16 at 21:36

            What is the meaning & signficance of using higlighted arguments like"DC-0" or "DC-1" as 3rd argument in fir1 command? Will my design remain valid if i skip these type of arguments?

            ...

            ANSWER

            Answered 2020-Jul-16 at 21:36

            'DC-0' specifies that the first band of a multiband filter is a stopband. 'DC-0' is the default when Wn has more than two elements.

            'DC-1' specifies that the first band of a multiband filter is a passband.

            for details see the matlab online help, click here

            Source https://stackoverflow.com/questions/62942686

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

            Vulnerabilities

            No vulnerabilities reported

            Install fir1

            You can download it from GitHub.

            Support

            The doxygen generated documentation can be found here:.
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            Install
          • PyPI

            pip install fir1

          • CLONE
          • HTTPS

            https://github.com/berndporr/fir1.git

          • CLI

            gh repo clone berndporr/fir1

          • sshUrl

            git@github.com:berndporr/fir1.git

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