基于均匀量化器的随机量化方法

Randomized Quantizing Based on Uniform Quantizer

从易于硬件实现的角度，提出了一种基于均匀量化器的随机量化方法。证明了该方法在所加噪声满足一定条件时，其量化信号的数学期望等于相应的量化输入值。分析了所加噪声对量化动态范围的影响。利用计算机模拟，对量化输出平均值的分布规律及其与反复量化次数和所加噪声取值域的关系进行了分析研究，为以后设计量化器提供了依据。

For the sake of being implementCd more simply, a kind of randomized qunantizing based on uniform quantizer is presented. It is proved that the expected value of a quantized signal value is equal to its corresponding signal value by this means provided some conditions of the noise being added in is satisfied. It is analyzed how the noise being added in affects the dyramic range of quantization. The distribution of the average values of quantized signal values and the relation of the distribution; the times of quantizing repeatedIy and the value region of the noise being added in is studied, which provides basis for designing this kind of quantizer later.