Time-domain processing of frequency-domain data and its application

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Based on our previous work, this work presents a complete method for time-domain processing of frequency-domain data with evenly-spaced frequency indices, together with its application. The proposed method can be used to calculate the cross spectral and power spectral densities for the frequency indices of interest. A promising application for the time-domain processing of frequency-domain data, particularly for calculating the summation of frequency-domain cross- and auto-correlations in orthogonal frequency-division multiplexing (OFDM) systems, is studied. The advantages of the time-domain processing of frequency-domain data are 1) the ability to rapidly acquire the properties that are readily available in the frequency domain and 2) the reduced complexity. The proposed fast algorithm directly employs time-domain samples, and hence, does not need the fast Fourier transform (FFT) operation. The proposed algorithm has a lower complexity (required complex multiplications ∼ O(N)) than conventional techniques.

Original languageEnglish
Pages (from-to)1406-1409
Number of pages4
JournalIEICE Transactions on Communications
VolumeE95-B
Issue number4
DOIs
Publication statusPublished - 2012

Fingerprint

Processing
Power spectral density
Autocorrelation
Fast Fourier transforms
Orthogonal frequency division multiplexing

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

@article{b86097bcd7bf4b5ebe0041e66de45fd3,
title = "Time-domain processing of frequency-domain data and its application",
abstract = "Based on our previous work, this work presents a complete method for time-domain processing of frequency-domain data with evenly-spaced frequency indices, together with its application. The proposed method can be used to calculate the cross spectral and power spectral densities for the frequency indices of interest. A promising application for the time-domain processing of frequency-domain data, particularly for calculating the summation of frequency-domain cross- and auto-correlations in orthogonal frequency-division multiplexing (OFDM) systems, is studied. The advantages of the time-domain processing of frequency-domain data are 1) the ability to rapidly acquire the properties that are readily available in the frequency domain and 2) the reduced complexity. The proposed fast algorithm directly employs time-domain samples, and hence, does not need the fast Fourier transform (FFT) operation. The proposed algorithm has a lower complexity (required complex multiplications ∼ O(N)) than conventional techniques.",
author = "Wen-Long Chin",
year = "2012",
doi = "10.1587/transcom.E95.B.1406",
language = "English",
volume = "E95-B",
pages = "1406--1409",
journal = "IEICE Transactions on Communications",
issn = "0916-8516",
publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",
number = "4",

}

Time-domain processing of frequency-domain data and its application. / Chin, Wen-Long.

In: IEICE Transactions on Communications, Vol. E95-B, No. 4, 2012, p. 1406-1409.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Time-domain processing of frequency-domain data and its application

AU - Chin, Wen-Long

PY - 2012

Y1 - 2012

N2 - Based on our previous work, this work presents a complete method for time-domain processing of frequency-domain data with evenly-spaced frequency indices, together with its application. The proposed method can be used to calculate the cross spectral and power spectral densities for the frequency indices of interest. A promising application for the time-domain processing of frequency-domain data, particularly for calculating the summation of frequency-domain cross- and auto-correlations in orthogonal frequency-division multiplexing (OFDM) systems, is studied. The advantages of the time-domain processing of frequency-domain data are 1) the ability to rapidly acquire the properties that are readily available in the frequency domain and 2) the reduced complexity. The proposed fast algorithm directly employs time-domain samples, and hence, does not need the fast Fourier transform (FFT) operation. The proposed algorithm has a lower complexity (required complex multiplications ∼ O(N)) than conventional techniques.

AB - Based on our previous work, this work presents a complete method for time-domain processing of frequency-domain data with evenly-spaced frequency indices, together with its application. The proposed method can be used to calculate the cross spectral and power spectral densities for the frequency indices of interest. A promising application for the time-domain processing of frequency-domain data, particularly for calculating the summation of frequency-domain cross- and auto-correlations in orthogonal frequency-division multiplexing (OFDM) systems, is studied. The advantages of the time-domain processing of frequency-domain data are 1) the ability to rapidly acquire the properties that are readily available in the frequency domain and 2) the reduced complexity. The proposed fast algorithm directly employs time-domain samples, and hence, does not need the fast Fourier transform (FFT) operation. The proposed algorithm has a lower complexity (required complex multiplications ∼ O(N)) than conventional techniques.

UR - http://www.scopus.com/inward/record.url?scp=84859383556&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84859383556&partnerID=8YFLogxK

U2 - 10.1587/transcom.E95.B.1406

DO - 10.1587/transcom.E95.B.1406

M3 - Article

AN - SCOPUS:84859383556

VL - E95-B

SP - 1406

EP - 1409

JO - IEICE Transactions on Communications

JF - IEICE Transactions on Communications

SN - 0916-8516

IS - 4

ER -