2D AR and 2D ARMA parameters estimation
The 2D ARMA estimation algorithm is the implementation of the approach proposed in "Two-dimensional ARMA modeling for breast cancer detection and classification" by N. Bouaynaya, J. Zielinski and D. Shonfeld.
Content:
- arma2Ddemo: See and run the demo 'arma2Ddemo' for an example of 2D AR and ARMA parameters estimation from simulated images.
- sim_ar2d: generation of simulated 2D AR process.
- sim_arma2d: generation of simulated 2D ARMA process.
- ar2d: solves 2D yule walker to estimate AR parameters
- arma2d: estimation of 2D ARMA parameters. First step: estimation of the gaussian input by inv_ar2d, Second step: linear system solution to estimates simultaneously AR and MA parameters, as explained in [1].
- inv_ar2d: first step in arma2d. Filters through inverse filter 1/AR an AR process, to generate its innovation Gaussian signal. It is used here to estimate the Gaussian noise input to the ARMA 2D process, approximating the ARMA model to a high order AR model.
- poles2coeff: converts poles chosen by user to AR or MA coefficients (support function)
References:
[1]. "Two-dimensional ARMA modelling for breast cancer detection and classification" by N. Bouaynaya, J. Zielinski and D. Shonfeld
in IEEE International Conference On Signal Processing And Communications, Bangalore, India, July 2010
Cite As
Simona Maggio (2024). 2D AR and 2D ARMA parameters estimation (https://www.mathworks.com/matlabcentral/fileexchange/29360-2d-ar-and-2d-arma-parameters-estimation), MATLAB Central File Exchange. Retrieved .
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- Industries > Biotech and Pharmaceutical > Genomics and Next Generation Sequencing >
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Signal Modeling >
- Computational Finance > Econometrics Toolbox > Conditional Mean Models >
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ARMA2D/
Version | Published | Release Notes | |
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1.0.0.0 |