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Theory of Remote Image Formation
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Richard Blahut presents a unified analysis of the mathematical methods that underlie the various algorithms used in remote image formation. In many applications, images, such as ultrasonic or X-ray signals, are recorded and then analyzed with digital or optical processors in order to extract information. Such processing requires the development of algorithms of great precision and sophistication. Key features of the text include practical applications that illustrate theoretical concepts and many homework problems that enhance the learning of graduate students of electrical engineering and computer science, as well as professionals.


Preface; Acknowledgments; 1. Introduction; 2. Signals in one dimension; 3. Signals in two dimensions; 4. Optical imaging systems; 5. Antenna systems; 6. The ambiguity function; 7. Radar imaging systems; 8. Diffraction imaging systems; 9. Construction and reconstruction of images; 10. Tomography; 11. Likelihood and information methods; 12. Radar search systems; 13. Passive and baseband surveillance systems; 14. Data combination and tracking; 15. Phase noise and phase distortion; References; Index.

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