### Abstract

Some important issues that arise in applications involving the Radon transform (RT) of a stationary random field (SRF), specifically 2-D spectrum estimation (SE), are brought out. An expression for the RT of an SRF is developed based on a representation of an SRF of a given power spectrum density (PSD), valid up to second order statistics. The expression is useful in relating the autocorrelation function (ACF) of the RT with the RT of the 2-D ACF, as well as in highlighting some properties of the RT associated with an SRF. Inherent windowing that is inevitable in practice, and some of its implications on 2-D SE using the RT are discussed.

Original language | English |
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Pages (from-to) | 882-885 |

Number of pages | 4 |

Journal | Canadian Conference on Electrical and Computer Engineering |

Volume | 2 |

Publication status | Published - 01-12-1995 |

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### All Science Journal Classification (ASJC) codes

- Hardware and Architecture
- Electrical and Electronic Engineering

### Cite this

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*Canadian Conference on Electrical and Computer Engineering*, vol. 2, pp. 882-885.

**On some intrinsic properties of the radon transform of an SRF with application to 2-D spectrum estimation.** / Galigekere, Ramesh R.; Plotkin, Eugene I.

Research output: Contribution to journal › Conference article

TY - JOUR

T1 - On some intrinsic properties of the radon transform of an SRF with application to 2-D spectrum estimation

AU - Galigekere, Ramesh R.

AU - Plotkin, Eugene I.

PY - 1995/12/1

Y1 - 1995/12/1

N2 - Some important issues that arise in applications involving the Radon transform (RT) of a stationary random field (SRF), specifically 2-D spectrum estimation (SE), are brought out. An expression for the RT of an SRF is developed based on a representation of an SRF of a given power spectrum density (PSD), valid up to second order statistics. The expression is useful in relating the autocorrelation function (ACF) of the RT with the RT of the 2-D ACF, as well as in highlighting some properties of the RT associated with an SRF. Inherent windowing that is inevitable in practice, and some of its implications on 2-D SE using the RT are discussed.

AB - Some important issues that arise in applications involving the Radon transform (RT) of a stationary random field (SRF), specifically 2-D spectrum estimation (SE), are brought out. An expression for the RT of an SRF is developed based on a representation of an SRF of a given power spectrum density (PSD), valid up to second order statistics. The expression is useful in relating the autocorrelation function (ACF) of the RT with the RT of the 2-D ACF, as well as in highlighting some properties of the RT associated with an SRF. Inherent windowing that is inevitable in practice, and some of its implications on 2-D SE using the RT are discussed.

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M3 - Conference article

AN - SCOPUS:0029484083

VL - 2

SP - 882

EP - 885

JO - Canadian Conference on Electrical and Computer Engineering

JF - Canadian Conference on Electrical and Computer Engineering

SN - 0840-7789

ER -