The quality of digital audio depends on two parameters: the sampling frequency and the number of quantization bits. For the sake of fidelity, the sampling point is as dense as possible in the direction of time change, and the sampling frequency is high; the amplitude is as small as possible and the quantization bit rate is high. The direct result is the pressure of storage capacity and transmission channel capacity requirements.
Audio signal transmission rate = sampling frequency * sample quantization bit number * channel number sampling frequency = 441KHz.
The number of quantization bits of the sample value = 16
Normal stereo signal channel number = 2
Digital signal transmission stream is about 14Mbit/s
The amount of data in one second is 14 Mbit/(8/Byte) up to 1764 K byte (bytes), which is equal to the data volume of 88200 Chinese characters.
The emergence of digital audio is to meet the needs of copying, storage, and transmission. The volume of audio signals is a huge pressure for transmission or storage.
The compression of audio signals is to express and transmit the sound information at the smallest possible data rate while ensuring a certain sound quality.
The signal compression process uses appropriate digital signal processing techniques to process the sampled and quantized original digital audio signal stream to process the signal data. The audio signal is removed from the components that can have negligible influence on people's perception of information, and only useful for that portion of audio. Signals are organized to reduce the amount of data involved in coding
The components of the digital audio signal that have negligible influence on people's perception of information are called redundancy and include time domain redundancy, frequency domain redundancy, and auditory redundancy.
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