Picture Processing Techniques for Interpreting Experimental Data

1987 ◽  
Author(s):  
Yan M. Yufik ◽  
Michael J. W. Chen
Keyword(s):  
Experimental Data ◽  
Picture Processing ◽  
Processing Techniques

Picture processing techniques applied to autoradiographic studies of visual cortex

1986 ◽  
Vol 15 (4) ◽  
pp. 269-280 ◽  
Author(s):  
Eugene Switkes ◽  
Roger B.H. Tootell ◽  
Martin S. Silverman ◽  
Russell De Valois
Keyword(s):  
Visual Cortex ◽  
Picture Processing ◽  
Processing Techniques

scholarly journals An Extender Kalman Filter-based Induction Machines Faults Detection

2016 ◽  
Vol 6 (2) ◽  
pp. 535 ◽  
Author(s):  
Abdelghani Chahmi ◽  
Mokhtar Bendjebbar ◽  
Bertrand Raison ◽  
Mohamed Benbouzid
Keyword(s):  
Experimental Data ◽  
Kalman Filter ◽  
Induction Machines ◽  
Simulation Tools ◽  
Electrical Drives ◽  
Efficient Simulation ◽  
Processing Techniques ◽  
Detection And Localization ◽  
Signal Processing Techniques ◽  
Diagnosis Approach

This paper deals with the detection and localization of electrical drives faults, especially those containing induction machines. First, the context of the study is presented and an Extended Kalman Filter is described for induction machines fault detection. Then the modeling procedure under faulty conditions is shown, and the machine diagnosis methods are developed. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.Fault detection uses signal processing techniques in known operating phases (fixed speed), considering and locating malfunctions.

scholarly journals An Extender Kalman Filter-based Induction Machines Faults Detection

2016 ◽  
Vol 6 (2) ◽  
pp. 535
Author(s):  
Abdelghani Chahmi ◽  
Mokhtar Bendjebbar ◽  
Bertrand Raison ◽  
Mohamed Benbouzid
Keyword(s):  
Experimental Data ◽  
Kalman Filter ◽  
Induction Machines ◽  
Simulation Tools ◽  
Electrical Drives ◽  
Efficient Simulation ◽  
Processing Techniques ◽  
Detection And Localization ◽  
Signal Processing Techniques ◽  
Diagnosis Approach

This paper deals with the detection and localization of electrical drives faults, especially those containing induction machines. First, the context of the study is presented and an Extended Kalman Filter is described for induction machines fault detection. Then the modeling procedure under faulty conditions is shown, and the machine diagnosis methods are developed. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.Fault detection uses signal processing techniques in known operating phases (fixed speed), considering and locating malfunctions.

scholarly journals Analysis of signal processing techniques for optical 112 Gb/s DP-QPSK receivers with experimental data

2011 ◽  
Vol 10 (1) ◽  
pp. 155-164 ◽  
Author(s):  
Thiago F. Portela ◽  
Diego V. Souto ◽  
Valery N. Rozental ◽  
Hugo B. Ferreira ◽  
Darli A. A. Mello ◽  
...  
Keyword(s):  
Experimental Data ◽  
Signal Processing ◽  
Processing Techniques ◽  
Signal Processing Techniques

scholarly journals A harmonic spectral beamformer for the enhanced localization of propeller-driven aircraft

2019 ◽  
Vol 7 (2) ◽  
pp. 156-174 ◽  
Author(s):  
Brendan Harvey ◽  
Siu O’Young
Keyword(s):  
Experimental Data ◽  
Theoretical Analysis ◽  
Frequency Domain ◽  
Search Algorithm ◽  
Target Localization ◽  
Acoustic Source ◽  
Localization Technique ◽  
Localization Accuracy ◽  
Standard Frequency ◽  
Processing Techniques

The following paper presents several array processing techniques that may be used to enhance the localization of acoustic source targets, such as UAVs. A review of common methods is first provided, followed by several algorithms developed to reduce computational loads for the application of concern. A beamforming method is proposed that exploits the properties of harmonic narrowband signals, such as that generated by propeller-driven aircraft to enhance direction of arrival accuracy. In addition, a regional contraction search algorithm is proposed to minimize computational loads associated with the presented localization technique. A brief comparison of the proposed method to that of standard frequency domain beamformers is also provided using both theoretical analysis and experimental data. For the case of target localization between two moving fixed-wing UAVs, it was found that the proposed harmonic spectral beamforming method increased localization accuracy by 50% over the standard steered response power approach.

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

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