Soundwaves

Soundwaves

1. Converting anologue soundwaves into brain signals.

   • Sound is vibrations in the air over time.
     • Essentially, small changes in air pressure over time.
       • When the ripples hit an ear drum, it vibrates back and forth with the pressure changes, translating them into something your brain can sense.

2. Converting sound waves into digital binary data.

   • sound is captured - usually by a microphone
     • then converted into a digital signal
       • converter will sample a sound wave at regular time intervals
         • then be converted to binary

3. Bit Depth

   • the number of bits of information in each sample, and it directly corresponds to the resolution of each sample
     • Digital signal processing (DSP) operations can be performed in either fixed point or floating point precision. In either case, the precision of each operation is determined by the precision of the hardware operations used to perform each step of the processing and not the resolution of the input data
       • On devices that do not support large accumulators, fixed point results may be truncated, reducing precision. Errors compound through multiple stages of DSP at a rate that depends on the operations being performed. For uncorrelated processing steps on audio data without a DC offset, errors are assumed to be random with zero mean. Under this assumption, the standard deviation of the distribution represents the error signal, and quantization error scales with the square root of the number of operations
         • High levels of precision are necessary for algorithms that involve repeated processing

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