基于数据变换法，提出使用高效数据结构即倒排文件的隐私保护关联规则挖掘算法ifb - PPARM。
Based on data-distort method, we propose privacy preserving association rules mining algorithm IFB-PPARM using efficient data structure namely inverted file.
并研究了基于此类FRM结构FIR滤波器的采样率变换算法、实现结构、计算复杂度及其设计问题等。
Then, the sampling rate alteration method based on FIR filter with FRM structure, its architecture, computational complexity and the problem in designing are studied.
这种算法通过调节结构元素的长度，对信号进行连续的形态变换，很好地保留了原信号的主要特征。
This kind of algorithm regulates the width of the structure element and makes the continuous morphological transform of signal, having well kept the main characteristic of the original signal.
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