Modeling and classification of biological signals

Modeling and classification of biological signals

Approved for public release; distribution is unlimited. === This thesis examines a number of marine biological signals and the problem of modeling by autoregressive techniques using a prony-svd algorithm to accurately represent segments of biological signals. Two methods are employed to classify the...

Full description

Bibliographic Details
Main Author: VanDerKamp, Martha M.
Other Authors: Cristi, Roberto
Language:en_US
Published: Monterey, California. Naval Postgraduate School 2012
Online Access:http://hdl.handle.net/10945/23965
id ndltd-nps.edu-oai-calhoun.nps.edu-10945-23965
record_format oai_dc
spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-239652015-08-25T16:01:49Z Modeling and classification of biological signals VanDerKamp, Martha M. Cristi, Roberto Fargues, Monique P. Naval Postgraduate School Naval Postgraduate School Electrical and Computer Engineering Approved for public release; distribution is unlimited. This thesis examines a number of marine biological signals and the problem of modeling by autoregressive techniques using a prony-svd algorithm to accurately represent segments of biological signals. Two methods are employed to classify the biological signals from the model parameters. The first classification method is based on a Neural Network implementation using a commercial software package. The second method is accomplished by using a distance measure, based on spectral ratios, with respect to modeled reference signals. 2012-11-29T16:18:47Z 2012-11-29T16:18:47Z 1992-12 Thesis http://hdl.handle.net/10945/23965 en_US Monterey, California. Naval Postgraduate School
collection NDLTD
language en_US
sources NDLTD
description Approved for public release; distribution is unlimited. === This thesis examines a number of marine biological signals and the problem of modeling by autoregressive techniques using a prony-svd algorithm to accurately represent segments of biological signals. Two methods are employed to classify the biological signals from the model parameters. The first classification method is based on a Neural Network implementation using a commercial software package. The second method is accomplished by using a distance measure, based on spectral ratios, with respect to modeled reference signals.
author2 Cristi, Roberto
author_facet Cristi, Roberto
VanDerKamp, Martha M.
author VanDerKamp, Martha M.
spellingShingle VanDerKamp, Martha M.
Modeling and classification of biological signals
author_sort VanDerKamp, Martha M.
title Modeling and classification of biological signals
title_short Modeling and classification of biological signals
title_full Modeling and classification of biological signals
title_fullStr Modeling and classification of biological signals
title_full_unstemmed Modeling and classification of biological signals
title_sort modeling and classification of biological signals
publisher Monterey, California. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/23965
work_keys_str_mv AT vanderkampmartham modelingandclassificationofbiologicalsignals
_version_ 1716817318491717632

Similar Items