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中文摘要：
以测量值量化Kalman滤波器和新息量化Kalman滤波器为对象，从量化误差、量化份数、量化区间三方面对量化滤波器的性能进行分析．在量化误差大小一定的情况下，可以得到两种量化滤波算法各自所需量化份数，给量化滤波器的选择提供定性与定量的依据．
英文摘要：
Quantitative filtering is an important issue in the field of network information processing. Several effective quantitative filters have been proposed in the existing literatures. However, in the application process, how to select suitable quantify objects and quantization rate？ In this paper, based on the Kalman filter with quantification measurement （KFQM） and the one with quantification information （KFQI）, the performance of quantitative filter is analyzed about quantization error, quantization quantity and quantization interval. Given the quantization error, the suitable quantization quantity of each filter could be obtained. The analysis provides the qualitative and quantitative basis for quantitative filter choice.
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