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c++ - fftw analysing frequencies from mic input on pc ...
https://stackoverflow.com/questions/43576019/fftw-analysing-frequencies-from-mic-input-on-pc
I am using fftw to analyse the frequency spectrum of audio input to a computer from the mic input. I am using portaudio c++ libraries to capture the windows of time-domain audio data and then fftw to do a real to complex r2c transformation of this data to the frequency domain. Below is my function which I call everytime I receive the block of data.
Adding an FFT plot to the QT Audio Input program
https://svenssonjoel.github.io/pages/qt-audio-fft/index.html
Adding FFT using the FFTW3 library to the Qt audio input program This program is based upon the earlier Audio input using Qt and QAudioInput text and adds a second QCustomPlot that will be displaying the discrete Fourier transform (DFT) of the audio in a 2 second sliding window. To compute the DFT, the FFTW3 library will be used.
GitHub - francisengelmann/sound: Some tools to …
https://github.com/francisengelmann/sound
Some tools to visualize audio input using OpenAL and FFTW - GitHub - francisengelmann/sound: Some tools to visualize audio input using OpenAL and FFTW
Sound input and fft in Qt - YouTube
https://www.youtube.com/watch?v=b5xZSmn_JAQ
sound input in a Qt app and application of DFT using FFTW with plotting using QCustomplot. More info here: http://svenssonjoel.github.io/pages/qt-audio-fft/i...
c++ - How to FFT a sound array correctly? - Stack Overflow
https://stackoverflow.com/questions/11440709/how-to-fft-a-sound-array-correctly
I am trying to get a list of frequencies present in an input audio sample. It seems I need to do an FFT to get this result, but I get odd answers when I FFT it (using FFTW): I get arrays containing mostly zeros with a few impossibly large elements (300+ digits!) - and these large numbers are always in the same place (5 places from the end, 46 places from the end and a …
FFTW Home Page
Introduction FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions, of arbitrary input size, and of both real and complex data (as well as of even/odd data, i.e. the discrete cosine/sine transforms or DCT/DST). We believe that FFTW, which is free software, should become the FFT library of choice for most applications.
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