Accession Number:

ADA346235

Title:

Alternate Norms for the Cabrelli and Wiggins Blind Deconvolution Algorithms

Descriptive Note:

Final rept.

Corporate Author:

NAVAL RESEARCH LAB STENNIS SPACE CENTER MS

Report Date:

1998-05-08

Pagination or Media Count:

24.0

Abstract:

Two blind deconvolution algorithms are extended to include alternate norms and used to estimate transient source signatures. The inputs to the blind algorithms are received signals which have undergone propagation through a medium and may be difficult to recognize by a classifier. Both of the algorithms are based on an assumption of sparseness for the Greens or impulse response function. Simulations using model signals indicate that the results using alternate norms are better in some cases than the results using the original algorithm norms, meaning that the best source estimate is more similar to the true source, or that good source estimates are produced more consistently with varying filter length. No predictable pattern emerges to provide guidelines as to when each norm will work best when the Greens function consists of a series of alternating positive and negative spikes. However, if the Greens function consists of a series of spikes skewed to either the positive or negative amplitudes, then the odd order alternate norms appear to work better than the original norms.

Subject Categories:

  • Acoustics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE