Title :
Recovery of a sparse spike time series by L1 norm deconvolution
Author :
O´Brien, Michael S. ; Sinclair, Anthony N. ; Kramer, Stuart M.
Author_Institution :
Dept. of Mech. Eng., Toronto Univ., Ont., Canada
fDate :
12/1/1994 12:00:00 AM
Abstract :
An L1 norm minimization scheme is applied to the determination of the impulse response vector h of flaws detected in practical examples of ultrasonic nondestructive evaluation in CANDU nuclear reactors. For each problem, parametric programming is applied to find the optimum value of the damping parameter that will yield the best estimate of h according to a quantified performance factor. This performance factor is based on a quantified analysis of the transitions in estimates of h as the damping parameter is varied over a wide range of possible values. It is shown that for the examined cases in which the true impulse response is a sparsely filled spike strain, the L1 norm provides significantly better results than the more commonly used L2 norm minimization schemes. These results are shown to be consistent with theoretical predictions
Keywords :
acoustic signal processing; deconvolution; fission reactor materials; fission reactor safety; flaw detection; minimisation; parameter estimation; signal reconstruction; time series; transient response; ultrasonic materials testing; CANDU nuclear reactors; L1 norm deconvolution; damping parameter; impulse response; impulse response vector; minimization scheme; parametric programming; performance factor; sparse spike time series; sparsely filled spike strain; ultrasonic nondestructive evaluation; Acoustic measurements; Capacitive sensors; Councils; Damping; Deconvolution; Mechanical engineering; Noise measurement; Performance analysis; Polarization; Yield estimation;
Journal_Title :
Signal Processing, IEEE Transactions on
