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Data compression for underwater glider system using frequency sampling filters

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Title Data compression for underwater glider system using frequency sampling filters
 
Creator Mohd-Mokhtar, Rosmiwati
Aziz, Muhammad Hilmi R.A.
Arshad, M. R.
Hussain, Nur Afande Ali
 
Subject Data compression
Glider system
Frequency sampling filters
 
Description 227-235
Data acquisition from underwater glider system yields large amounts of
data. This may lead to a long computational time during the identification
process. The raw data may also contain complex system disturbance information
which may require a sophisticated optimization algorithm to achieve desirable
results. In this paper, frequency sampling filters approach is used as a tool
to compress the data and obtain meaningful parameter that describes the
empirical model of the system. The use of finite impulse response model and the
maximum likelihood method will play a role in eliminating the bias and noise
effects of the glider data systems. By performing this procedure, the
compressed, cleaned and unbiased data will be obtained, in which, it can be
further used to develop a model of the glider system, also to analyze and
observe for optimization and controller design purposes.
 
Date 2011-05-23T11:27:27Z
2011-05-23T11:27:27Z
2011-04
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/11728
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.40(2) [April 2011]