A PROPOSED METHOD FOR DECREASING THE LOSSES OF THE SAMPLE NUMBER DURING A WEIGHT FILTRATION
Artur Wollek
Abstract:
Weight filtration is one of the methods for weakening the effect of noise exerted on dis-crete signals. The wider is the weight window, the higher is the filtration quality. However, weight fil-tration produces an undesirable side effect, namely a certain number of samples relative to the input is lost. This may be attributed to the concept of weight filtration itself. The number of lost samples is the greater, the wider is the weight window. So, the desire to get a well-filtered signal comes into conflict with the number of samples being lost by virtue of filtration. In the paper an approach is suggested that enables the sample losses occurring during the weight filtration to be reduced.
XIII IMEKO TC4 International Symposium on Measurements for Research and Industrial Applications (together with IXth International Workshop on ADC Modeling and Testing, IWADC)
