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What Is Spectral Whitening? - Frequency Spectrum ...
https://faqoverflow.kranzky.com/dsp/10183.html
Where might spectral whitening be useful in audio processing or analysis? If you are trying to localize (in time) the onset of a sound, then it's possible that spectral whitening can improve this. It's also possible that it can reduce (disimprove) the SNR. What would a spectrally whitened audio signal sound like?
Spectral Whitening in the Frequency Domain By M. W. Lee ...
https://pubs.usgs.gov/of/1986/0108/report.pdf
The amount of spectral whitening is governed by the parameter a As shown in the above derivation, spectral whitening performs like deconvolution or pulse compression when a becomes small. By choosing an appropriate a, spectral whitening can be used as an alternate processing tool (for example, in signal-to-noise enhancement). ...
Algorithm reference - SpectralWhitening (streaming …
https://essentia.upf.edu/reference/streaming_SpectralWhitening.html
Description. Performs spectral whitening of spectral peaks of a spectrum. The algorithm works in dB scale, but the conversion is done by the algorithm so input should be in linear scale. The concept of 'whitening' refers to 'white noise' or a non-zero flat spectrum. It first computes a spectral envelope similar to the 'true envelope' in [1], and then modifies the amplitude of each …
SPECTRAL WHITENING - File Exchange - MATLAB Central
https://www.mathworks.com/matlabcentral/fileexchange/65345-spectral-whitening
xnew = whitening (x, Fs, freq, [0.1, 20]) for 0.1 Hz to 20 Hz as an example. Input: x = input signal (x must be a row vector) Fs = sampling rate (e.g., 200) freq = frequency limit for whitening in Hz (e.g., freq, [ ] or freq, [0.1, 20]) Output: xnew = spectrally whitened signal for the full range of 0 Hz to the.
Spectral whitening based on the singular spectral …
https://academic.oup.com/jge/article/15/4/1460/5204282
Another useful and very common filtering method is spectral whitening, used for low frequency noise attenuation and resolution enhancement. The conventional spectral whitening method uses the Fourier transform to separate the data into different bandwidths so the amplitude of different frequencies can be enhanced separately (Yilmaz 2001).
AES E-Library » Novel Decimation-Whitening Filter in ...
https://www.aes.org/e-lib/browse.cfm?elib=16291
abstract={mpeg-4 high-efficiency advanced audio coding (he-aac) has adopted spectral band replication (sbr) to efficiently compress high-frequency parts of the audio. in sbr, the linear prediction is applied to low-frequency subbands to clip the tonal components and smooth the associated spectrum for replicating to high-frequency bands. such a process is referred to as …
Spectral whitening of impulsive and swept-source …
https://www.osti.gov/biblio/542868-spectral-whitening-impulsive-swept-source-shallow-seismic-data
Doll, W E, and Coruh, C. 1995. "Spectral whitening of impulsive and swept-source shallow seismic data". United States. abstractNote = {Two problems that commonly affect shallow seismic data are narrow bandwidth and interference from ground roll. Deconvolution techniques are often attempted to overcome these problems and thus improve resolution ...
Time-variant spectral whitening - SEG Wiki
https://wiki.seg.org/wiki/Time-variant_spectral_whitening
This time-variant spectral whitening process is outlined in Figure 2.6-9. The number of the filter bands, the width of each band, and the overall bandwidth of application of time-variant spectral whitening are parameters that can be prescribed for a particular application. Figures 2.6-10 and 2.6-11 show some field records before and after ...
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