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Updated: Jul 12, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
Estimation of K distribution parameters using neural networks
Mark P Wachowiak1, Renata Smolíková, Jacek M Zurada
1Computer Science and Engineering Program, University of Louisville, KY 40292, USA. mpwach01@athena.louisville.edu
Abstract:
The K distribution is an accurate model for ultrasonic backscatter. A neural approach is developed to estimate K distribution parameters. Accuracy and consistency of the estimates from simulated K and envelope data compare favorably with other techniques. Neural networks can potentially be used as a complementary technique for tissue characterization.
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