SSR and Hybrid Distortion Minimization
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작성자 Elouise 작성일25-05-16 02:46 조회3회 댓글0건본문

Harmonic distortion is a major contributor to the degradation of audio quality, and mitigating it is crucial to achieve clean and clear sound.
Harmonic distortion occurs when the signal is forced through a system with a non-linear response, resulting in frequencies not present in the original signal being introduced.
These added frequencies can greatly reduce the overall audio quality and noise level.
One approach to mitigate this problem is by using a method called harmonic distortion cancellation.
Harmonic distortion cancellation is based on a mathematical approach developed by Martin Vessell and اس اس آر Douglas Self in the 1920s.
The basic idea is to subtract a set of frequency components, calculated based on the signal being processed, from the original signal.
The result is a residual that typically contains mostly artifacts not related to the original signal content.
To achieve effective harmonic distortion cancellation, there are several key considerations.
The first is that a lot more of the even harmonics must be cancelled than the odd harmonics to ensure that even harmonic content i.e., 6th harmonic, does not raise to audible levels.
The second involves choosing a wideband filter that is as flat as possible and using threshold detection to adjust circuit parameters to include as much of the low frequency spectrum possible.
This is more likely to effectively reduce noise produced by "non-periodic" background noise.
However, the process of removing the fundamental frequency from a signal along with its associated components is a highly difficult one, mainly due to issues with frequency of operation frequency.
Fortunately, in the past several years there may have been solid research conducted in this area specifically regarding how to effectively nullify audio imperfections such as these caused by harmonic distortion within different environments that host sound waves having the highest frequencies and the lowest frequencies that exist.
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