Search engine and text filtering technique are all used to help users to gain information they need quickly and precisely.
搜索引擎和文本过滤技术都是为了帮助用户快速、准确地获取用户需求的信息。
This paper adopts a filtering tactic which USES candidate mapping tactic and information gain tactic to reduce the amount of concepts and attribute waiting for computing.
该文采用过滤策略，利用候选映射策略和信息增益策略减少待映射概念和待计算属性数量。
A new fading filtering algorithm is developed based on the property of Kalman filter that the sequence of residuals is uncorrelated when the optimal gain is used.
本文依据卡尔曼滤波器在使用最佳增益时，其余差序列互不相关的性质，开发了一种新的渐消滤波算法。
Further, the periodicity of the filtering system model is analyzed and the feasibility to realize periodic filtering gain is discussed.
并进一步分析了滤波系统模型的周期性，探讨了实现周期滤波增益的可行性。
This is useful in applications where the user needs to use an external amplifier to implement system-specific filtering or gain requirements.
在用户需用外部放大器来满足系统专用滤波或增益要求的应用中，此特性会很有用。
Existence conditions and analytical expression of the desired performance robust filtering gain are obtained. A numerical example demonstrates...
给出了期望鲁棒滤波增益的存在条件及其解析表达式，并以数值算例说明了设计方法的直接性与有效性。
Existence conditions and analytical expression of the desired performance robust filtering gain are obtained. A numerical example demonstrates...
给出了期望鲁棒滤波增益的存在条件及其解析表达式，并以数值算例说明了设计方法的直接性与有效性。
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