Location

Williamsburg, VA

Start Date

1-1-1986 12:00 AM

Description

A new technique is presented for deconvolution of time series (digitally recorded temporal waveforms) such as obtained in acoustic emission. The method, called cross-cut deconvolution, combines two different least squares methods—one completely new, the other a recently developed variant of singular valued decomposition—to produce a potentially robust technique for treating ill-conditioned problems. A simple example is given for deconvolution of a Gaussian kernel in the presence of varying amounts of noise by each least squares method.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

5A

Chapter

Chapter 3: Sensors and Signal Processing

Section

Signal Processing

Pages

727-735

DOI

10.1007/978-1-4615-7763-8_76

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Deconvolution for Acoustic Emission

Williamsburg, VA

A new technique is presented for deconvolution of time series (digitally recorded temporal waveforms) such as obtained in acoustic emission. The method, called cross-cut deconvolution, combines two different least squares methods—one completely new, the other a recently developed variant of singular valued decomposition—to produce a potentially robust technique for treating ill-conditioned problems. A simple example is given for deconvolution of a Gaussian kernel in the presence of varying amounts of noise by each least squares method.