Noise

The meaning of noise was originally classified into sound information that forms signals or unwanted&sbquo disturbing sounds. In today's information theory&sbquo however&sbquo noise is limited to data abnormalities that could affect the characteristics and context of signals. From this&sbquo it is now used to refer to unrelated data that made its way into the system. Generally&sbquo in order to purify the signals it is necessary to remove noise. This is called noise reduction. The technology&sbquo for example&sbquo of analyzing voice data and cutting out the noise is generally well known. When removing this noise from sound data&sbquo if the noise level to be cut is set too high&sbquo it will also have a negative effect on non-noise sound data. Therefore&sbquo highly advanced technology that only extracts the noise becomes necessary. The Dolby series developed by Dolby Laboratories is well known as an analog noise reduction method&sbquo and there was also a technology called ADRES by Toshiba&sbquo but due to the progress of digital technology&sbquo signals with absolutely no noise have been realized today. In design&sbquo noise can be considered metaphorically as a "'sensibility-stimulating valve." That is&sbquo when expressions of pure signals alone create suffocating impressions and images&sbquo noise related design processing may be applied there. As signals become purer in digital expressions&sbquo noise created with digital technology becomes important as elements of fluctuation and healing. This is the control of noise.

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