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    Author:Memon, Nasir
    Sponsored by:IEEE Educational Activities and NYU-Poly
    Tutorial Level: Intermediate
    Publication Date: Jun-2011
    Run Time: 1:00:00
    CEUs: .3
    PDHs: 3
    ECSA CPD (Category 1 - Development Activities): 1 - Includes study time

    Abstract
    This tutorial will cover collecting image evidence as well as searching and sorting evidence. It will also review attributing images to their sources and authenticating them. Sources of images include devices such as cameras or computers. Image authentication involves asking whether an image has been tampered with or manipulated.

    Keywords: Biometrics , forensics

    For individuals not subscribed to the IEEE eLearning Library, this course is available for individual purchase.

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    Authors: Goldstein, Scott andPicciolo, Michael
    Sponsored by:IEEE Aerospace & Electronic Systems Society
    Tutorial Level: Intermediate
    Publication Date: Jul-2008
    Run Time: 1:00:00
    CEUs: .3
    ECSA CPD (Category 1 - Development Activities): 1 - Includes study time

    Abstract
    Space-Time Adaptive Processing (STAP) is an advanced signal processing methodology for the Ground Moving Target Indication (GMTI) mode of airborne and spaceborne surveillance radar systems. It is used to mitigate motion-induced spread-Doppler clutter that interferes with the echo from ground targets. This course will develop and clearly illustrate the GMTI problem from first principles, showing the need for STAP processing. Traditional STAP processing solutions will be derived from a detection probabilistic perspective - the most pertinent metric for radar.

    Keywords: Clutter ridge , Covariance matrix , Degrees of freedom (DOF) , Ground Moving Target Indication (GMTI) , Multistage Wiener Filter , RMCC with Soft-Weighting; Space-Time Adaptive Processing (STAP) , Rank of covariance matrix , Rank of reduced rank adaptive algorithm , STAP datacube , Spread Doppler Clutter , Steering vector

    For individuals not subscribed to the IEEE eLearning Library, this course is available for individual purchase.

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    Author:Shur, Michael
    Sponsored by:IEEE Sensors Council
    Tutorial Level: introductory
    Publication Date: Jun-2006
    Run Time: 1:00:00
    CEUs: .3
    PDHs: 3
    ECSA CPD (Category 1 - Development Activities): 1 - Includes study time

    Abstract
    Terahertz sensing technology has a promise of many breakthrough and enabling applications including: detection of biological and chemical hazardous agents; cancer detection; detection of mines and explosives; enhancement of people, building, and airport security; covert communications (in THz and sub-THz windows); and applications in radioastronomy and space research. This tutorial will review the famous THz gap and the-state-of-the-art of existing THz sources, detectors, and sensing systems.
    After completing this course you should be able to develop an understanding of: THz sensing of biological material; Broadband THz reflection and transmission detection of concealed objects; THz explosive identification; THz nanocomposite spectroscopy; and THz remote sensing.

    Keywords: B , Back Wave Oscillator , Carcinotron , Explosive detection , Gunn diode , HEMT (High Electron Mobility Transistor) , HFET , MODFET , NEP , Photonics , Plasma wave electronics , Plasma waves , Quantum cascade laser , TEGFET , Terahertz Electronics , Terahertz radiation

    For individuals not subscribed to the IEEE eLearning Library, this course is available for individual purchase.