how to decrease the quantization errors in the digital to analog convertor(DAC).
Digital communications
Encoding and Decoding of Information Signal
- how to decrease the quantization errors in the digital to analog convertor(DAC).
these errors rely just upon an ADCs goals, testing at an a lot higher rate than you would ordinarily spreads the quantization noise over a bigger data transmission. Furthermore, in this manner the force thickness for a fixed transmission capacity diminishes as sample frequency increments. a higher example rate diminishes the quantization noise superimposed on the computerized information for the sign you need to quantify. In any case, the decrease of the commotion includes some significant downfalls - more information to process and the need to carefully channel the information. Multiplying the example rate expands the ADC goals by 1/2 LSB.
This kind of oversampling gets unrealistic, however, except if you likewise utilize a strategy called clamor forming. This strategy diminishes clamor in the data transmission of enthusiasm by "moving" it to higher frequencies where it has less impact on your signs of intrigue. Sigma-delta, likewise called delta-sigma, ADCs give this capacity and produce high goals for moderately low-recurrence signals. A sound card, for instance, depends on a sigma-delta converter that oversamples at up to 192 ksamples/sec. A few converters work at multiple times the Nyquist recurrence and give goals of at least 20 bits.
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