利用低位ADC获取高精度量化结果

模数变换中量化精度取决于ＡＤＣ的位数。对于固定模拟量，即使作多次量化值的平均，也不能提高精度。但在量化前使被量化信号叠加上一个噪声，作多次量化值的平均，则有可能提高量化精度。本文对此量化模型进行了严格、系统的数学分析，对叠加噪声采用正态分布和均匀分布这两种常见类型噪声的情况进行了详细的分析和比较。

Obtaining High Precision Quantization Results Using A/D Converter with Less Bits

he quantization precision is determined by the bit number of A/D converter.adding noise to the sighal before quantization and averaging,a set of quantization values,the quantization error can be reduced possibly.A systematic mathematical analysis is given to this quantization model.The mistakes in the analysis of minimum sampling number needed in averaging are also-corrected in this paper.Particularly,the effects of using Guassian noise and uniform distribution noise as the additional noise are analyzed and campared in detail.