Signal Processing & Analysis | 
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“Biometrics: Solutions for Security and Authentication” by Kostas Plataniotis, sponsored by the IEEE Educational Activities Board This course will provide an overview of the study of methods for uniquely recognizing humans based upon one or more intrinsic physical or behavioral traits. I will present the fundamentals of biometrics and biometric systems. The course will delve into why biometrics is a solution for security and authentication. Face, gait and ECG based biometrics will be covered. Biometrics and encryption will also be discussed, and the course will conclude with a discussion of future steps. After completing you should be able to develop an understanding of:
Konstantinos N. (Kostas) Plataniotis received his B. Eng. degree in Computer Engineering & Informatics from University of Patras, Greece in 1988 and his M.S. and Ph.D. degrees in Electrical Engineering from Florida Institute of Technology (Florida Tech), Melbourne, Florida, in 1992 and 1994 respectively. He was an Assistant Professor with the Computer Science Department at Ryerson University, Ontario, Canada from July 1997 to June 1999. Dr. Plataniotis is currently an Associate Professor with The Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto in Toronto, Ontario, Canada. He is also an Adjunct Professor with the School of Computer Science at Ryerson University, Toronto, Ontario, Canada.
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"Real-Time Embedded Computing for Signal and Image Processing" by David Martinez, sponsored by the IEEE Aerospace & Electronic Systems Society This course presents an overview of the current developments in the field of embedded computing drawing from signal and image processing applications. The module reviews computing complexity drivers, implementation approaches in hardware and software, and concludes with a discussion on recent trends. After completing this course you should be able to develop an understanding of:
David Martinez is Associate Division Head of the Sensor Systems Division at MIT Lincoln Laboratory.
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"Space-Time Adaptive Processing for Radar" by Michael L. Picciolo and Scott Goldstein, sponsored by the IEEE Aerospace and Electronic Systems Society 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. After completing you should be able to develop an understanding of:
Dr. Picciolo is an Adaptive Signal Processing Analyst at SAIC in Chantilly, VA. He works in the areas of Space-Time Adaptive Processing (STAP) algorithms, SAR / GMTI radar, Geolocation algorithms, and Image Processing. Dr. Goldstein is a Vice President at SAIC and has over 20 years of experience in the fields of radar, sonar, communications, navigation, and imaging sensors. He has performed fundamental research and development in the technical areas that support C3I and ISR functions.
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"Terahertz Sensing Technology" by Michael Shur, sponsored by the IEEE Sensors Council 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 course will review the famous THz gap and the-state-of-the-art of existing THz sources, detectors, and sensing systems. Most existing terahertz sources have low power and rely on optical means of the terahertz radiation. THz quantum cascade lasers using over thousand alternating layers of gallium arsenide and aluminum gallium arsenide have achieved the highest THz powers generated by optical means. Since the energy of a terahertz photon (4.2 meV for 1 THz) is much smaller than the thermal energy at room temperature, room temperature operation of THz lasers might be limited to the high frequency boundary of the terahertz range of frequencies (e.g. close to 30 THz). Improved designs and using quantum dot medium for THz laser cavities are expected to result in improved THz laser performance. Huge THz powers are generated using free electron lasers. Two-terminal semiconductor devices are capable of operating at the low bound of the THz range, with the highest frequency achieved using Schottky diode frequency multipliers (exceeding 1 THz). High speed three terminal electronic devices (FETs and HBTs) are approaching the THz range (with cutoff frequencies and maximum frequencies of operation around 800 GHz and 340 GHz for InGaAs and SiGe technologies, respectively). A new approach called plasma wave electronics recently demonstrated terahertz emission and detection in GaAs-based and GaN-based HEMTs and in Si MOS and SOI, including the resonant THz detection at room temperature. After completing this course you should be able to develop basic understanding of:
Michael Shur received his M. S. E. E. degree (with honors) from St. Petersburg Electrotechnical Institute, Ph. D. (candidate degree) in Physics and Mathematics and Doctor of Science in Physics and Mathematics degree both from A. F. Ioffe Institute of Physics and Technology in 1992. He has held research or faculty positions at different universities, including A.F. Ioffe Institute, Cornell, University of Minnesota, and University of Virginia, where he was John Money Professor of Electrical Engineering and served as Director of Applied Electrophysics Laboratories. He is now Patricia W. and C. Sheldon Roberts'48 Professor of Solid State Electronics, Professor of Physics, Applied Physics and Astronomy, Director of Center for Broadband Data Transport Science and Technology and co-Director of NSF I/UCRC "Connection One" at RPI, Troy NY.
IEEE Member Individual Purchase ($69.95--30
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"Ultra-Wideband Radio Technology" by K. Siwiak, sponsored by the IEEE Communications Society Based on the book, "Ultra-wideband Radio Technology," Wiley: UK, 2004, Siwiak traces UWB technology through history, regulations, standards, system implementations and commercial applications. The course presents a judicious balance between sufficient technical detail for the seasoned practitioner, and practical and strategic observations to benefit technology managers, marketers and potential investors in the technology. The seasoned technologist will have enough technical content and references to gain a working introduction to the field, while the business professional can ignore the detail of equations but gains a knowledge of the business implications of UWB. UWB is legal in the USA, Japan, and by the ITU-R. A European Commission Decision mandates the introduction of UWB rules by member nations. Methods of generating and modulating UWB signals are described and set in the context of IEEE802 and other Standards. There has been a recent surge of invention and commercialization interest following the FCC's "Report and Order" which legalizes an unprecedented access to more than 7.5 GHz of unlicensed UWB spectrum in the US. Methods of generating and modulating UWB signals are described and set in the context of UWB proposals for IEEE802 Standards. Interesting UWB antenna, radiation, and propagation phenomena, including unique behavior in multipath, are presented in contrast with narrow band radio. Examples of UWB link margins including data throughput versus range and system data capacity (up to 2 Gb/s) are compared with conventional and much higher power 802.11a/b systems. The future of UWB is a judicious mix of wireless communications, precision positioning and radar. UWB can enable an accurate indoor adjunct to GPS with centimeter accuracy. Discussions of applications show that UWB capabilities make possible delivery of location-specific content and information, tracking of high value assets, security systems and various automotive and interesting home based "location awareness" systems. After completing this course you should be able to develop and understanding of:
Kazimierz "Kai" Siwiak was an inventor, engineer and Founder of TimeDerivative, Inc., a wireless technology consulting venture. He was Vice President of Strategic Development at Time Domain Corp., and recently received the Dan Noble Fellow and the Silver Quill Awards from Motorola Corporation where was named Master Innovator and Member of the Technical Staff.
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