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Iterative Methods For Estimation Of 2 D Ar Parameters Using A Data Adaptive Toeplitz Approximation Algorithm. by Eremic%2c John C.%3btummala%2c Murali.
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1Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-adaptive Toeplitz Approximation Algorithm.
By Eremic, John C.;Tummala, Murali.
“Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-adaptive Toeplitz Approximation Algorithm.” Metadata:
- Title: ➤ Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-adaptive Toeplitz Approximation Algorithm.
- Author: ➤ Eremic, John C.;Tummala, Murali.
- Language: en_US
Edition Identifiers:
- Internet Archive ID: iterativemethods00erem
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The book is available for download in "texts" format, the size of the file-s is: 71.93 Mbs, the file-s for this book were downloaded 251 times, the file-s went public at Thu Dec 06 2012.
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2Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-adaptive Toeplitz Approximation Algorithm.
By Eremic, John C.;Tummala, Murali.
Thesis advisor, Murali Tummala
“Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-adaptive Toeplitz Approximation Algorithm.” Metadata:
- Title: ➤ Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-adaptive Toeplitz Approximation Algorithm.
- Author: ➤ Eremic, John C.;Tummala, Murali.
- Language: en_US,eng
Edition Identifiers:
- Internet Archive ID: iterativemethods00erempdf
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 46.91 Mbs, the file-s for this book were downloaded 114 times, the file-s went public at Wed Oct 07 2015.
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3DTIC ADA246009: Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-Adaptive Toeplitz Approximation Algorithm
By Defense Technical Information Center
A new two-dimensional data-adaptive algorithm utilizing the iterative Toeplitz approximation method is presented. This algorithm provides a robust and efficient means for accurate estimation of two-dimensional autoaggressive parameters representing spatially variant data arrays. Its convergence performance is comparable to that of the 2-D Recursive Least Squares (RLS) algorithm but is computationally more efficient. The savings in computation is realized by reducing the size of the matrix to be inverted when solving the AR model normal equation. The ability of the algorithm to be accurately estimate the model parameters using very small data sets and various windowing schemes are evaluated. Spectral estimates are compared for quarter-plane (QP), nonsymmetric half-plane (NSHP) and combined-quadrant (CQ) regions of support. Additionally, the algorithm is tested in noise cancellation and line enhancement applications using image arrays. This algorithm may be implemented for data- adaptive image processing or coding and for applications requiring 2-D spectral estimation.
“DTIC ADA246009: Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-Adaptive Toeplitz Approximation Algorithm” Metadata:
- Title: ➤ DTIC ADA246009: Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-Adaptive Toeplitz Approximation Algorithm
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA246009: Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-Adaptive Toeplitz Approximation Algorithm” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Eremic, John C - NAVAL POSTGRADUATE SCHOOL MONTEREY CA - *MATHEMATICAL MODELS - *ARRAYS - DATA BASES - ALGORITHMS - ACCURACY - ESTIMATES - CODING - IMAGES - NOISE - CANCELLATION - ITERATIONS - EQUATIONS - CONVERGENCE - SPECTRA - VARIATIONS - REGIONS - OPTIMIZATION - MODELS - PARAMETERS
Edition Identifiers:
- Internet Archive ID: DTIC_ADA246009
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The book is available for download in "texts" format, the size of the file-s is: 26.62 Mbs, the file-s for this book were downloaded 58 times, the file-s went public at Sun Mar 04 2018.
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4Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-adaptive Toeplitz Approximation Algorithm
By Eremic, John C.
A new two-dimensional data-adaptive algorithm utilizing the iterative Toeplitz approximation method is presented. This algorithm provides a robust and efficient means for accurate estimation of 2-D autoregressive parameters representing spatially variant data arrays. Its convergence performance is comparable to that of the 2-D Recursive Least Squares (RLS) algorithm but is computationally more efficient. The savings in computation is realized by reducing the size of the matrix to be inverted when solving the AR model normal equations. The ability of the algorithm to accurately estimate the model parameters using very small data sets and various windowing schemes are evaluated. Spectral estimates are compared for quarter-plane (QP), nonsymmetric half-plane (NSHP) and combined-quadrant (CQ) regions of support. Additionally, the algorithm is tested in noise cancellation and line enhancement applications using image arrays. This algorithm may be implemented for data-adaptive image processing or coding and for applications requiring 2-D spectral estimation.
“Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-adaptive Toeplitz Approximation Algorithm” Metadata:
- Title: ➤ Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-adaptive Toeplitz Approximation Algorithm
- Author: Eremic, John C.
- Language: English
“Iterative Methods For Estimation Of 2-D AR Parameters Using A Data-adaptive Toeplitz Approximation Algorithm” Subjects and Themes:
Edition Identifiers:
- Internet Archive ID: iterativemethods1094528321
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The book is available for download in "texts" format, the size of the file-s is: 705.22 Mbs, the file-s for this book were downloaded 84 times, the file-s went public at Mon Feb 01 2021.
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