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

研究成果: Article

1 引文 (Scopus)

摘要

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.

原文English
頁(從 - 到)1406-1409
頁數4
期刊IEICE Transactions on Communications
E95-B
發行號4
DOIs
出版狀態Published - 2012

指紋

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

引用此文

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