An iterative algorithm for finding the minimum sampling frequency for two bandpass signals

Yuan-Pei Lin; Yi De Liu; See May Phoong

doi:10.1109/SPAWC.2009.5161822

An iterative algorithm for finding the minimum sampling frequency for two bandpass signals

Yuan-Pei Lin^*, Yi De Liu, See May Phoong

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

In this paper, we propose an efficient algorithm for finding the minimum sampling frequency for a signal that consists of two bandpass signals. This has important application in software radio where it is desirable to downconvert multiple bandpass signals simultaneously. We will derive a new set of conditions for alias-free sampling that can be checked with few computations. The minimum sampling frequency can be found by iteratively increasing the sampling frequency to meet the alias-free conditions. We will demonstrate that the proposed method has a much lower complexity than previously reported algorithms.

Original language	English
Title of host publication	2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009
Pages	434-438
Number of pages	5
DOIs	https://doi.org/10.1109/SPAWC.2009.5161822
State	Published - 20 Nov 2009
Event	2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009 - Perugia, Italy Duration: 21 Jun 2009 → 24 Jun 2009

Publication series

Name	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference	2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009
Country	Italy
City	Perugia
Period	21/06/09 → 24/06/09

Access to Document

10.1109/SPAWC.2009.5161822

Link to publication in Scopus

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Lin, Y-P., Liu, Y. D., & Phoong, S. M. (2009). An iterative algorithm for finding the minimum sampling frequency for two bandpass signals. In 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009 (pp. 434-438). [5161822] (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). https://doi.org/10.1109/SPAWC.2009.5161822

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abstract = "In this paper, we propose an efficient algorithm for finding the minimum sampling frequency for a signal that consists of two bandpass signals. This has important application in software radio where it is desirable to downconvert multiple bandpass signals simultaneously. We will derive a new set of conditions for alias-free sampling that can be checked with few computations. The minimum sampling frequency can be found by iteratively increasing the sampling frequency to meet the alias-free conditions. We will demonstrate that the proposed method has a much lower complexity than previously reported algorithms.",

author = "Yuan-Pei Lin and Liu, {Yi De} and Phoong, {See May}",

year = "2009",

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doi = "10.1109/SPAWC.2009.5161822",

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Lin, Y-P, Liu, YD & Phoong, SM 2009, An iterative algorithm for finding the minimum sampling frequency for two bandpass signals. in 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009., 5161822, IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, pp. 434-438, 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009, Perugia, Italy, 21/06/09. https://doi.org/10.1109/SPAWC.2009.5161822

An iterative algorithm for finding the minimum sampling frequency for two bandpass signals. / Lin, Yuan-Pei; Liu, Yi De; Phoong, See May.

2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009. 2009. p. 434-438 5161822 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - In this paper, we propose an efficient algorithm for finding the minimum sampling frequency for a signal that consists of two bandpass signals. This has important application in software radio where it is desirable to downconvert multiple bandpass signals simultaneously. We will derive a new set of conditions for alias-free sampling that can be checked with few computations. The minimum sampling frequency can be found by iteratively increasing the sampling frequency to meet the alias-free conditions. We will demonstrate that the proposed method has a much lower complexity than previously reported algorithms.

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