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- Ian Barrodale, D. Skea, M. Berkley, R. Kuwahara, R. Poeckert
- Pattern Recognition
- 1993

- D. Skea, Ian Barrodale, R. Kuwahara, R. Poeckert
- Pattern Recognition
- 1993

- Ian Barrodale, C. Phillips
- ACM Trans. Math. Softw.
- 1975

DESCRIPTION The algorithm calculates a Chebyshev (or l~) solution to an m X n overdetermined system of linear equations Ax = b, i.e. given equations the subroutine determines a vector x* = ['xl*, x~*,..., x,,*'] r which minimizes the maximum absolute value of the residuals (1) The algorithm can be used to solve the linear Chebyshev data fitting problem.… (More)

- Ian Barrodale, F. D. K. Roberts
- ACM Trans. Math. Softw.
- 1980

- Ian Barrodale, R. Kuwahara, R. Poeckert, D. Skea
- Numerical Algorithms
- 1993

- N R Chapman, I Barrodale
- 2006

The trace measured in a marine seismic experiment can be expressed as the convolution of a source wavelet and a sparsely populated spike train which represents the impulse response of the medium. Deconvolu-tion processing using the II norm criterion has been suggested by Taylor, Banks & McCoy to obtain estimates of the impulse response from noisy traces.… (More)

- Fausto Milinazzo, Cedric A. Zala, Ian Barrodale
- IEEE Trans. Acoustics, Speech, and Signal…
- 1987

When analyzing linear systems of equations, the most important indicator of potential instability is the condition number of the matrix. For a convolution matrix W formed from a series w (where Wij defines the stabirity of the deconvolution process. For the larger con-volution matrices commonly encountered in practice, direct computation of the condition… (More)

- Cedric A. Zala, Ian Barrodale
- Adv. Comput. Math.
- 1999

1. INTRODUCTION Geographic Information Systems (GIS) provide well-developed tools for query, analysis and display of point, line, and polygon data, and there are well-developed communities that use these data types and rely heavily on GIS tools. Many meteorological datasets consist of combinations of time series and grids. Tools for query, analysis and… (More)

- C.A. Zala, I. Barrodale, C.E. Lucas, R.F. MacKinnon
- Conference Proceeding IEEE Pacific Rim Conference…
- 1989

A formulation of the maximum entropy (ME) method is described, where the data constraints are expressed in the form of fixed bounds on the elements of an orthogonal transform of the model. The bounds are set on the basis of both the observed data and an estimate of the noise statistics in the transform domain; prior knowledge, if available, can also be… (More)