scholarly journals The development of a new signal processing program at the Queensland University of Technology

1996 ◽  
Vol 39 (2) ◽  
pp. 186-191 ◽  
Author(s):  
B. Boashash ◽  
S. Sridharan ◽  
V. Chandran
Keyword(s):  
Signal Processing ◽  
University Of Technology ◽  
Processing Program

Chronicle. Joint NTAV/Spa 2012 Conference Lodz University Of Technology Poland, September 27–29, 2012

2012 ◽  
Vol 37 (3) ◽  
pp. 395-398
Author(s):  
Strumillo Pawel
Keyword(s):  
Signal Processing ◽  
Electronic Systems ◽  
Audio Engineering ◽  
Engineering Society ◽  
University Of Technology

Abstract The NTAV/SPA 2012 conference was held on 27–29th September 2012 and was organized by the Institute of Electronics, Lodz University of Technology (www.eletel.p.lodz.pl) with the support of the IEEE Polish Section Region 8, Polish Section of the Audio Engineering Society, Department of Acoustics, Wroclaw University of Technology and the Division of Signal Processing and Electronic Systems, Poznan University of Technology.

scholarly journals Digital Signal Processing Applied to the Modernization Of Polish Navy Sonars

2014 ◽  
Vol 21 (2) ◽  
pp. 65-75 ◽  
Author(s):  
Jacek Marszal
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Electronic Systems ◽  
Ultrasound Transducers ◽  
Processing Methods ◽  
Complete Replacement ◽  
University Of Technology ◽  
Sonar Systems ◽  
Signal Processing Methods

AbstractThe article presents the equipment and digital signal processing methods used for modernizing the Polish Navy’s sonars. With the rapid advancement of electronic technologies and digital signal processing methods, electronic systems, including sonars, become obsolete very quickly. In the late 1990s a team of researchers of the Department of Marine Electronics Systems, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, began work on modernizing existing sonar systems for the Polish Navy. As part of the effort, a methodology of sonar modernization was implemented involving a complete replacement of existing electronic components with newly designed ones by using bespoke systems and methods of digital signal processing. Large and expensive systems of ultrasound transducers and their dipping and stabilisation systems underwent necessary repairs but were otherwise left unchanged. As a result, between 2001 and 2014 the Gdansk University of Technology helped to modernize 30 sonars of different types.

SIG—A general-purpose signal processing program

1987 ◽  
Vol 75 (9) ◽  
pp. 1322-1332 ◽  
Author(s):  
D.L. Lager ◽  
S.G. Azevedo
Keyword(s):  
Signal Processing ◽  
General Purpose ◽  
Processing Program

Using XXY Table to Construct a Verticality Calibrator and its Error Analysis

2017 ◽  
Vol 870 ◽  
pp. 159-163
Author(s):  
Jui Chang Lin ◽  
Cheng Jen Lin
Keyword(s):  
Signal Processing ◽  
Laser Light ◽  
Angular Displacement ◽  
Measured Data ◽  
Average Error ◽  
Motion Controller ◽  
Displacement Sensors ◽  
Processing Program ◽  
Set Up ◽  
Correction System

In this work, according to the characteristics of analytes, using XXY table and angular displacement tables to construct an automatic verticality measurement and correction system for three axes. For the purpose of measuring and correcting the spatial verticality of analytes in three axial directions, in this study, using a XXY table and angular displacement tables to set up a simulate carrier, these tables are driven by a four axes motion controller to adjust their posture, and then utilizing five laser displacement meters and self-developed signal processing program to carry out the measurement work. The system sets five laser displacement sensors in the surroundings of analytes respectively, and using the measured data by laser displacement sensors to calculate the yaw, pitch and roll angles of the analytes. Finally, by the four axes motion controller to adjust the motion of these tables, let laser light perpendicular to the surface of analytes as far as possible to achieve the goal of this system. After the experimental verification, the average error is not more than 0.0417 degrees.

The Design of an Automated Plasma Diagnostic System – From Measurement to Signal Processing

MACRo 2015 ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 49-59 ◽  
Author(s):  
Nimród Kutasi ◽  
Lajos Kenéz ◽  
Emőd Filep ◽  
István Szöllösi ◽  
László Jakab Farkas
Keyword(s):  
Signal Processing ◽  
Power Supply ◽  
Plasma Nitriding ◽  
Diagnostic System ◽  
Nitriding Process ◽  
Plasma Diagnostic ◽  
Communication Interface ◽  
Measurement Results ◽  
Processing Program ◽  
Different Temperatures

AbstractThe paper deals with the design of a new plasma diagnostic system consisting of a microcontroller based power supply for automatic control of the measurement using Langmuir probe, the communication interface of the power supply and the signal processing program. The main motivation for the design of the automated plasma diagnostic system was given by our research in different methods of plasma nitriding of steels. During the nitriding process, it is important to achieve information about the plasma, which is the medium where the heat-treatment process is going on. The new diagnostic system is able to perform measurements during the nitriding process, thus we can analyze the plasma at different temperatures and gas mixtures. The obtained voltage-current curves are recorded and transmitted to the computer, where further signal processing is performed. The paper presents the design of the power supply, the measurement results and the developed signal processing software.

Algorithms of Chemicals Detection Using Raman Spectra

2010 ◽  
Vol 17 (4) ◽  
pp. 549-559 ◽  
Author(s):  
Andrzej Kwiatkowski ◽  
Marcin Gnyba ◽  
Janusz Smulko ◽  
Paweł Wierzba
Keyword(s):  
Signal Processing ◽  
Raman Spectra ◽  
Detection Efficiency ◽  
Public Places ◽  
Raman Spectrometer ◽  
Background Removal ◽  
University Of Technology ◽  
Processing Techniques ◽  
Signal Processing Techniques ◽  
Portable Raman

Algorithms of Chemicals Detection Using Raman SpectraRaman spectrometers are devices which enable fast and non-contact identification of examined chemicals. These devices utilize the Raman phenomenon to identify unknown and often illicit chemicals (e.g.drugs, explosives) without the necessity of their preparation. Now, Raman devices can be portable and therefore can be more widely used to improve security at public places. Unfortunately, Raman spectra measurements is a challenge due to noise and interferences present outside the laboratories. The design of a portable Raman spectrometer developed at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology is presented. The paper outlines sources of interferences present in Raman spectra measurements and signal processing techniques required to reduce their influence (e.g.background removal, spectra smoothing). Finally, the selected algorithms for automated chemicals classification are presented. The algorithms compare the measured Raman spectra with a reference spectra library to identify the sample. Detection efficiency of these algorithms is discussed and directions of further research are outlined.

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