Circular synthetic aperture radar (CSAR) is different from other usual SAR modes, eg,
Stripmap SAR or Spotlight SAR, which takes a circular path rather than a straight path. It can …

In this paper, we present a new efficient general 2-D autoregressive (AR) lattice modeling
technique of random fields. Our proposed approach is capable of simultaneously providing …

A new data extrapolation algorithm for high resolution radar imaging is presented. The
backscattered data are modeled as an autoregressive process where the prediction …

A new high-resolution virtual spectral imaging technique is able to resolve a closely spaced
dominant and low-level sinusoidal signal (power spread of up to 15 dB) in harsh signal-to …

Edges characterize boundaries and are therefore a problem of fundamental importance in
image processing. Edge detecting an image significantly reduces the amount of data and …

This paper considers the problem of estimating the moving average (MA) parameters of a
two-dimensional autoregressive moving average (2-D ARMA) model. To solve this problem …

A new hybrid lattice structure to identify the parameters of an unknown 2D ARMA (M, N)
system, where M and N can take arbitrary values different from each other, is presented. The …

In this paper, the new efficient 2-D autoregressive (AR) lattice modeling technique of random
fields is applied to predict the reflection parameters of the 2-D AR data field and the …

This work addresses the Auto-Regressive modeling in Single-Input Two-Outputs (SITO)
scenarios, where the lack of input signal diversity prevents application of state-of-the-art …

A new data extrapolation technique which utilizes pole extraction based GPOF method is
proposed to fit the scattering characteristics of an object. The proposed data extrapolation …