期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
卷号：3
期号：7
页码：15011
出版社：S&S Publications
摘要：In many digital signal processing (DSP) applications, it is required to increase the number of samplesthat a discrete time signal contains; this process is called interpolation and it implies an estimation of the values to beinserted. In this work, a comparative analysis of the digital interpolation process for diverse techniques of insertion andFIR filtering is presented. The aim is to obtain the best reconstruction of a test signal which has been designed to be asimple model of a real signal. First, decimation is used up to the limit of the Nyquist theorem in order to generate thetest signal. Then, this signal is fed into the interpolator, passing through two stages: 1) sample insertion, which is basedon zero stuffing, zero-order hold and splines, and 2) filtering, which is based on two FIR techniques, such as timeconvolution and fast filtering using DFT. The results show that by using the zero stuffing technique together with thefast filtering, a despicable reconstruction error is obtained. In addition, this arrangement has the advantage of a fastresponse.
关键词：Interpolation filter; sample insertion; signal reconstruction; spline; zero stuffing; zero-order hold
