Title :
Gibbs phenomenon removal and digital filtering directly through the fast Fourier transform
Author_Institution :
Pan Filter Technol., Saratoga, CA, USA
fDate :
2/1/2001 12:00:00 AM
Abstract :
The Gibbs phenomenon in the Fourier transform is due to a periodicity discrepancy between the waveform and its sinusoidal representations in the time domain. Data flipping, baseline tilting, or digital comparison completes the periodicity of the waveform and thus removes the Gibbs phenomenon. This facilitates digital filtering directly through the fast Fourier transform. Such a filtering is unique and exact, with its stop-band totally zeroed out and passband fully passed. It accomplishes lowpass, bandpass, highpass, bandstop, notch, or single-frequency-pass simply by manipulating the band limits
Keywords :
digital filters; fast Fourier transforms; filtering theory; waveform analysis; Gibbs phenomenon removal; bandpass filtering; bandstop filtering; baseline tilting; data flipping; digital filtering; fast Fourier transform; highpass filtering; lowpass; notch filtering; single-frequency-pass filtering; sinusoidal representation; time domain; waveform periodicity; Band pass filters; Convolution; Digital filters; Discrete Fourier transforms; Fast Fourier transforms; Filtering theory; Frequency domain analysis; Frequency response; IIR filters; Passband;
Journal_Title :
Signal Processing, IEEE Transactions on