PPT-Comparing Synthetic Aperture Radar Signal Processing Techniques and Designing a Simple

Christian Jones Primary SAR Modes Stripmap SAR Strip of terrain data Useful when mapping terrain or large area Will be primary focus of this presentation though the techniques used can be applied to any of these modes. Decimation or downsampling reduces the sampling rate whereas expansion or upsampling fol lowed by interpolation increases the sampling rate Some applications of multirate signal processing are Upsampling ie increasing the sampling frequency before D A simple model is shown in Figure 1 and the most essential dynamic property of a SHA is its ability to disconnect quickly the hold capacitor from the input buffer amplifier Historical ly the short but nonzero interval required for this action is cal email ivano57355siorssiru Continuous observations since 1991 by using synthetic aperture radar SAR on board the Almaz 1 ERS12 JERS1 and RADARSAT satellites support the wellknown fact that oceanic eddies are distributed worldwide in the ocean The pap Yang Lu. April. . 2014. Imperial College London. Outline. Introduction to Synthetic Aperture Radar (SAR) . Background of Compressed Sensing. Reconstruct Radar Image by CS methods. Introduction . to SAR . in . marine . meteorology. . Xiaofeng . Li. NOAA/NESDIS. Acknowledgment. Zheng . Weizhong. and William . Pichel. , NOAA/NESDIS. Xiaofeng Yang, Institute of Remote Sensing Application, CAS. NOAA Gilmore Creek Ground Station, Alaska. EE/Ge 157 b, Week 3 3 - 1 EE/ A e 157 b EE/Ge 157 b, Week 3 3 - 2 PRINCIPLES OF IMAGING RADAR CHARACTERISTICS OF RADAR WAVES • Theoagationof&#x Jayanthi. . Sivaswamy. . and. . Suryakanth. V . Gangashetty. 2. Broad Areas of . Signal . Processing . Activities. Audio, speech and language . Medical image processing . Computer vision (image and video). Credit to: Weile Wang. Gustav Klimt (1862-1918), . Der Park. With materials from Drs. Jeff Dozier (UCSB), Howard Zebker (Stanford), Jacob van Zyl (JPL), Alan Strahler (Boston U.), Ralph Dubayah (U. Maryland), Michael Lefsky (U. Colorado), Guoqing Sun (U. Maryland), and many others.. Rodrigo . C. de . Lamare. CETUC. , PUC-Rio, Brazil. Communications . Research Group, . Department . of Electronics, University of York, U.K.. delamare@cetuc.puc-rio.br. . Outline. Introduction. Application . Introduction (Basic Principle). Typical Illuminators. Working Principle. Receiver System. Signal Conditioning & Adaptive Filtering. Cross-correlation Process. Target Detection. Advantages and Disadvantages. Presenter:. Anthony Podkowa. May 2, 2013. Advisor: Dr José R. . Sánchez. Department of Electrical and Computer Engineering. Outline. I. Motivation & project summary. II. Block diagram. A. REC. Presenter:. Anthony Podkowa. May 2, 2013. Advisor: Dr José R. . Sánchez. Department of Electrical and Computer Engineering. Outline. I. Motivation & project summary. II. Block diagram. A. REC. The study and implementation of microphone arrays originated over 20 years ago. Thanks to the research and experimental developments pursued to the present day, the field has matured to the point that array-based technology now has immediate applicability to a number of current systems and a vast potential for the improvement of existing products and the creation of future devices. In putting this book together, our goal was to provide, for the first time, a single complete reference on microphone arrays. We invited the top re searchers in the field to contribute articles addressing their specific topic(s) of study. The reception we received from our colleagues was quite enthusi astic and very encouraging. There was the general consensus that a work of this kind was well overdue. The results provided in this collection cover the current state of the art in microphone array research, development, and technological application. This text is organized into four sections which roughly follow the major areas of microphone array research today. Parts I and II are primarily the oretical in nature and emphasize the use of microphone arrays for speech enhancement and source localization, respectively. Part III presents a num ber of specific applications of array-based technology. Part IV addresses some open questions and explores the future of the field. Jayanthi. . Sivaswamy. . and. . Suryakanth. V . Gangashetty. 2. Broad Areas of . Signal . Processing . Activities. Audio, speech and language . Medical image processing . Computer vision (image and video).