PDF Download Theory of Remote Image Formation, by Richard E. Blahut
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Theory of Remote Image Formation, by Richard E. Blahut
PDF Download Theory of Remote Image Formation, by Richard E. Blahut
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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.
- Sales Rank: #4919750 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2012-05-10
- Original language: English
- Number of items: 1
- Dimensions: 9.61" h x 1.14" w x 6.69" l, 1.92 pounds
- Binding: Paperback
- 554 pages
- Used Book in Good Condition
Review
'The presentation by Cambridge University Press is beautiful.' Zentralblatt MATH
About the Author
Richard E. Blahut is the Henry Magnuski Professor of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign. He is a Fellow of the Institute of Electrical and Electronics Engineers and the recipient of many awards including the IEEE Alexander Graham Bell Medal (1998), the Tau Beta Pi Daniel C. Drucker Eminent Faculty Award, and the IEEE Millennium Medal. He was named a Fellow of IBM Corporation in 1980 (where he worked for over 30 years) and was elected to the US National Academy of Engineering in 1990.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Good Introduction
By Misha
Pros:
Easy to understand introduction
Good questions
Includes non-optical image formation
Cons:
Not enough content
No solutions (not sure if I did the questions correctly)
Conclusion:
Good for an introductory semester on image formation
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