fpga_123 Posted August 19, 2017 Share Posted August 19, 2017 Why the concept of fft has been used.. Plz explain.... Link to comment Share on other sites More sharing options...
D@n Posted August 24, 2017 Share Posted August 24, 2017 @muku Can you please tell me which project you are referring to? A web link might help, Dan Link to comment Share on other sites More sharing options...
fpga_123 Posted August 25, 2017 Author Share Posted August 25, 2017 @D@n https://reference.digilentinc.com/learn/programmable-logic/tutorials/nexys-4-ddr-spectral-sources-demo/start Link to comment Share on other sites More sharing options...
jpeyron Posted August 25, 2017 Share Posted August 25, 2017 Hi @muku, The Fast Fourier Transform (FFT) resolves a time waveform into its sinusoidal components. The FFT takes a block of time-domain data and returns the frequency spectrum of the data. The FFT is a digital implementation of the Fourier transform. Thus, the FFT does not yield a continuous spectrum. Instead, the FFT returns a discrete spectrum, in which the frequency content of the waveform is resolved into a finite number of frequency lines, or bins. This allows us to display sound from the mic on the monitor and through the LED strip as shown in the video at the bottom of this tutorial you linked above. cheers, Jon Link to comment Share on other sites More sharing options...
fpga_123 Posted September 12, 2017 Author Share Posted September 12, 2017 On 8/25/2017 at 11:43 PM, jpeyron said: Hi @muku, The Fast Fourier Transform (FFT) resolves a time waveform into its sinusoidal components. The FFT takes a block of time-domain data and returns the frequency spectrum of the data. The FFT is a digital implementation of the Fourier transform. Thus, the FFT does not yield a continuous spectrum. Instead, the FFT returns a discrete spectrum, in which the frequency content of the waveform is resolved into a finite number of frequency lines, or bins. This allows us to display sound from the mic on the monitor and through the LED strip as shown in the video at the bottom of this tutorial you linked above. cheers, Jon thanks a lot ................ Link to comment Share on other sites More sharing options...
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