
Introducing the FireCracker!
Based on Analog Devices popular
Blackfin
embedded processor, Silica has developed the FireCracker Development and Reference Design Platform for audio and video applications.
FireCracker is a unique concept of a hybrid between a development board and a reference design that enables design engineers to bring embedded computing solutions from concept to production in record time.

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tutorial
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An Image Processing Tutorial
This tutorial is designed give students hands on experience in the techniques of image processing and convolving a digital image.
Table of Contents Sampling Rate Filtering Seeing some Examples Glossary References
preview:
http://www.cs.washington.edu
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tutorial
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Fundamentals of Image Processing
We will focus on the fundamental concepts of image processing.
Space does not permit us to make more than a few introductory remarks about image analysis.
Image understanding requires an approach that differs fundamentally from the theme of this book.
Further, we will restrict ourselves to twodimensional (2D) image processing although most of the concepts and techniques that are to be described can be extended easily to three or more...
preview:
http://www.qi.tnw.tudelft.nl
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tutorial
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Fundamentals of Image Processing
Learn about the fundamentals of signal and image processing built upon a unifying linear algebraic framework.
preview:
http://www.cs.dartmouth.edu
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tutorial
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Image Processing Fundamentals
Modern digital technology has made it possible to manipulate multi-dimensional signals with systems that range from simple digital circuits to advanced parallel computers.
The goal of this manipulation can be divided into three categories: * Image Processing image in -> image out * Image Analysis image in -> measurements out * Image Understanding image in -> high-level description out
preview:
http://www.ph.tn.tudelft.nl
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tutorial
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Wiener Filtering and Image Processing
A brief tutorial on Wiener filtering as a technique for reversing image degradation caused by sensor inperfection of motion.
Example images are presented.
preview:
http://www.owlnet.rice.edu
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