Journal ArticleDOI
Linear ARMA Predictors for the Lossless Compression of Two-Dimensional Signals
TLDR
The proposed algorithm for the lossless compression of two-dimensional signals is based on modeling the original signal by a rational function which consists of poles and zeros, or equivalently an auto-regressive moving average process.About:
This article is published in Digital Signal Processing.The article was published on 1997-04-01. It has received 3 citations till now. The article focuses on the topics: Data compression & Lossless compression.read more
Citations
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Journal ArticleDOI
Estimation of 2-D ARMA model parameters by using equivalent AR approach
Aydin Kizilkaya,Ahmet H. Kayran +1 more
TL;DR: A new algorithm is proposed for determining the parameters of a two-dimensional autoregressive moving-average (2-D ARMA) model parameters from the coefficients of the 2-D EAR model, and it is shown that the parameters and the corresponding power spectrums estimated by using the proposed algorithm are converged to the original parameter and the original power spectrum, respectively.
Proceedings ArticleDOI
Subspace system identification of separable-in-denominator 2-D stochastic systems
TL;DR: This paper introduces a 2-D stochastic state-space system identification algorithm for obtaining stochastically 2D, causal, recursive, and separable-in-denominator (CRSD) models in the Roesser state- space form.
Journal ArticleDOI
Computation of the exact cramer-rao lower bound for 2-D ARMA parameter Estimation-I: the quarter-plane case
Aydin Kizilkaya,Ahmet H. Kayran +1 more
TL;DR: A closed-form expression for computing the exact Cramer-Rao lower bound on unbiased estimates of the parameters of a two-dimensional (2-D) autoregressive moving average (ARMA) model is developed and is practical especially for quantifying the accuracy of 2-D ARMA parameter estimates realized with short data records.
References
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Book
Adaptive Signal Processing
Bernard Widrow,Samuel D. Stearns +1 more
TL;DR: This chapter discusses Adaptive Arrays and Adaptive Beamforming, as well as other Adaptive Algorithms and Structures, and discusses the Z-Transform in Adaptive Signal Processing.
Journal ArticleDOI
Linear prediction: A tutorial review
TL;DR: This paper gives an exposition of linear prediction in the analysis of discrete signals as a linear combination of its past values and present and past values of a hypothetical input to a system whose output is the given signal.
Journal ArticleDOI
Reversible intraframe compression of medical images
TL;DR: It appears that a hierarchical decorrelation method based on interpolation (HINT) outperforms all other methods considered and is presented in terms of entropy.
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