A new adaptive-iterative technique for metrology problems using higher order cumulants
A new adaptive-iterative technique for metrology problems using higher order cumulants
- Author(s): S. Sali and Wai Lok Woo
- DOI: 10.1049/cp:19990047
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- Author(s): S. Sali and Wai Lok Woo Source: IEE National Conference on Antennas and Propagation, 1999 p. 187 – 191
- Conference: IEE National Conference on Antennas and Propagation
- DOI: 10.1049/cp:19990047
- ISBN: 0 85296 713 6
- Location: York, UK
- Conference date: 31 March-1 April 1999
- Format: PDF
An entirely new approach is presented in this paper for iterative signal reconstruction using partial information and reconstruction of the signals which are embedded in noise. These studies have shown that the new algorithms are able to maintain their performance under extreme noise conditions where the existing algorithms completely fail. Convergence of these algorithms are also extremely fast but the computation time taken is longer than the existing algorithms. More powerful algorithmic structures can be developed by simply convolving the new approaches with higher order cumulants in order to study signal reconstruction problems where the cost function is highly nonlinear.
Inspec keywords: iterative methods; measurement; noise; convergence of numerical methods; higher order statistics; adaptive signal processing; signal reconstruction
Subjects: Interpolation and function approximation (numerical analysis); Other topics in statistics; Interpolation and function approximation (numerical analysis); Signal processing theory; Other topics in statistics; Signal processing and detection
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