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  2. Audio bit depth - Wikipedia

    en.wikipedia.org/wiki/Audio_bit_depth

    In basic implementations, variations in bit depth primarily affect the noise level from quantization error—thus the signal-to-noise ratio (SNR) and dynamic range. However, techniques such as dithering, noise shaping, and oversampling can mitigate these effects without changing the bit depth. Bit depth also affects bit rate and file size.

  3. Quantization (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Quantization_(signal...

    Though any number of quantization levels is possible, common word lengths are 8-bit (256 levels), 16-bit (65,536 levels) and 24-bit (16.8 million levels). Quantizing a sequence of numbers produces a sequence of quantization errors which is sometimes modeled as an additive random signal called quantization noise because of its stochastic ...

  4. Noise shaping - Wikipedia

    en.wikipedia.org/wiki/Noise_shaping

    Noise shaping is a technique typically used in digital audio, image, and video processing, usually in combination with dithering, as part of the process of quantization or bit-depth reduction of a signal. Its purpose is to increase the apparent signal-to-noise ratio of the resultant signal.

  5. Dither - Wikipedia

    en.wikipedia.org/wiki/Dither

    If the bit depth of a recording is sufficiently great, that preamplifier noise will be sufficient to dither the recording. Noise shaping is a filtering process that shapes the spectral energy of quantization error, typically to either de-emphasize frequencies to which the ear is most sensitive or separate the signal and noise bands completely ...

  6. Delta-sigma modulation - Wikipedia

    en.wikipedia.org/wiki/Delta-sigma_modulation

    For example, a simple comparator has 2 levels and so is 1 bit quantizer; a 3-level quantizer is called a 1.5 bit quantizer; a 4-level quantizer is a 2-bit quantizer; a 5-level quantizer is called a 2.5-bit quantizer. [12] Higher bit quantizers inherently produce less quantization noise.

  7. Sampling (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Sampling_(signal_processing)

    Audio is typically recorded at 8-, 16-, and 24-bit depth; which yield a theoretical maximum signal-to-quantization-noise ratio (SQNR) for a pure sine wave of, approximately; 49.93 dB, 98.09 dB, and 122.17 dB. [22] CD quality audio uses 16-bit samples. Thermal noise limits the true number

  8. Comparison of analog and digital recording - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_analog_and...

    With an adequate bit depth, random noise from other sources will dominate and completely mask the quantization noise. The Redbook CD standard uses 16 bits, which keeps the quantization noise 96 dB below maximum amplitude, far below a discernible level with almost any source material. [29]

  9. Bitcrusher - Wikipedia

    en.wikipedia.org/wiki/Bitcrusher

    The resulting quantization noise may produce a "warmer" sound impression, ... The knob or slider for resolution reduction (a.k.a. "bit depth", "depth", or "bits ...