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Evolving the audio equalizer

Authors: David Yonovitz;

Evolving the audio equalizer

Abstract

Current audio equalization techniques include Shelf, Parametric, and Graphic Equalizers. They are prevalent in all professional and commercial audio implementations. These techniques modify spectral components within specified bands by applying gain or attenuation. However, current techniques each have inherent issues with their use. The issues of concern are dynamic spectrum input and the degradation of Signal-to-Noise Ratio (SNR). In the former, the input spectrum is not static, yet all the current implementations of equalization are. The equalization must be dynamic and “track” the input signal spectrum to be effective. In the case of SNR, output noise is increased when no signal is present in the spectral band when adding gain. In addition, current techniques do not posses the precision required to only encompass the signal spectral components. in an evolution of equalization with input tracking capability, signal spectral components are identified; all other spectrum may be considered as noise and can be attenuated. The evolution of audio equalizers has progressed that negates the stated issues. Its implementation is realized in the Harmonic Tracking Equalizer (HTEq). Emulations of current techniques with improvement, noise reduction, and spectral modification will be presented.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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