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  2. Audio system measurements - Wikipedia

    en.wikipedia.org/wiki/Audio_system_measurements

    The use of shaped dither can increase the effective dynamic range of 16-bit audio to around 120 dB. [10] To calculate the maximum theoretical dynamic range of a digital system (Signal-to-quantization-noise ratio (SQNR)) use the following algorithm for bit depth Q:

  3. Audio bit depth - Wikipedia

    en.wikipedia.org/wiki/Audio_bit_depth

    24-bit and 32-bit audio does not require dithering, as the noise level of the digital converter is always louder than the required level of any dither that might be applied. 24-bit audio could theoretically encode 144 dB of dynamic range, and 32-bit audio can achieve 192 dB, but this is almost impossible to achieve in the real world, as even ...

  4. Target strength - Wikipedia

    en.wikipedia.org/wiki/Target_strength

    Sonar image of the wreck of USS O-9.. The target strength or acoustic size is a measure of the area of a sonar target. This is usually quantified as a number of decibels.For fish such as salmon, the target size varies with the length of the fish and a 5 cm fish could have a target strength of about -50 dB.

  5. Decibel - Wikipedia

    en.wikipedia.org/wiki/Decibel

    The decibel (symbol: dB) is a relative unit of measurement equal to one tenth of a bel (B). It expresses the ratio of two values of a power or root-power quantity on a logarithmic scale. Two signals whose levels differ by one decibel have a power ratio of 10 1/10 (approximately 1.26) or root-power ratio of 10 1/20 (approximately 1.12). [1] [2]

  6. Dynamic range - Wikipedia

    en.wikipedia.org/wiki/Dynamic_range

    Vinyl microgroove phonograph records typically yield 55-65 dB, though the first play of the higher-fidelity outer rings can achieve a dynamic range of 70 dB. [25] German magnetic tape in 1941 was reported to have had a dynamic range of 60 dB, [26] though modern-day restoration experts of such tapes note 45-50 dB as the observed dynamic range. [27]

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  8. Peak signal-to-noise ratio - Wikipedia

    en.wikipedia.org/wiki/Peak_signal-to-noise_ratio

    Peak signal-to-noise ratio (PSNR) is an engineering term for the ratio between the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation. Because many signals have a very wide dynamic range, PSNR is usually expressed as a logarithmic quantity using the decibel scale.

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