Next Article in Journal
An Experience-Based Framework for Evaluating Tourism Mobile Commerce Platforms
Previous Article in Journal
Multi-Label Classification from Multiple Noisy Sources Using Topic Models
Article Menu

Export Article

Open AccessArticle
Information 2017, 8(2), 53;

A Filter Structure for Arbitrary Re-Sampling Ratio Conversion of a Discrete Signal

Department of Mathematics and Computer Science, Guilin Normal College, Guilin 541001, China
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
Author to whom correspondence should be addressed.
Academic Editor: Mikael Skoglund
Received: 2 February 2017 / Revised: 20 April 2017 / Accepted: 5 May 2017 / Published: 12 May 2017
(This article belongs to the Section Information and Communications Technology)
Full-Text   |   PDF [1424 KB, uploaded 12 May 2017]   |  


In this report, we studied the sampling synchronization of a discrete signal in the receiver of a communication system and found that the frequency of the received signal usually exhibits some unpredictable deviations. We observed many harmonics caused by the frequency deviations of the discrete received signal. These findings indicate that signal sampling synchronization is an important research technique when using discrete Fourier transforms (DFT) to analyze the harmonics of discrete signals. We investigated the influence of these harmonics on the performance of signal sampling and studied the frequency estimation of the received signal. Based on the frequency estimation of the received signal, the sampling rate of the discrete signal was converted using a modified Farrow filter to achieve sampling synchronization for the received signal. The algorithm discussed here can be applied to sampling synchronization for monitoring and control systems. Finally, simulations and experimental results are presented. View Full-Text
Keywords: sample rate conversion; frequency estimation; Farrow filter sample rate conversion; frequency estimation; Farrow filter

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Zhang, H.; Zhu, C. A Filter Structure for Arbitrary Re-Sampling Ratio Conversion of a Discrete Signal. Information 2017, 8, 53.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top