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This paper explores the nature of Very Large Scale Integration (VLSI)
systems as applied to the area of medical imaging systems. A
general discussion of imaging systems and the techniques
employed therein will be presented. With this, the merits of VLSI
solutions to the medical imaging problem are presented.
Consideration is also given to programmable processors, such as off
the shelf DSP processors, semi-custom, and full custom VLSI devices.
Through the use of VLSI devices, many image processing algorithms
can be integrated into a hardware solution. This has the advantage
of increased computational capacity over solutions that would
normally employ software techniques
Baseband and DSP engines are at the heart of any modern
communication system. Translating complicated descriptions of a
describing protocol into efficient and optimized computational
engines with optimized power-delay-area-yield-test features is a
valuable expertise that we have built in this lab. As the following list
prescribes, in most of the major communication paradigms,
including LAN, WAN, PAN, wired and wireless varieties, we have
developed system level simulators, prepared optimized bit-true
modeling means. Alternative design tradeoffs at system, bit-width
and algorithm determination, and implementation levels are
explored and investigated.
In the world of computers, networking is the practice of linking two
or more computing devices together for the purpose of sharing
data. Networks are built with a mix of computer hardware and
Many of the network protocols, like TCP/IP, work in both wired and
wireless networks. Networks with Ethernet cables predominated in
businesses, schools, and homes for several decades. More recently,
however, wireless alternatives have emerged as the premier
technology for building new computer networks, in part to support
smart phones and the other new kinds of wireless gadgets that have
triggered the rise of mobile networking.
The development and
implementation of systems for the
more complex real-time image
processing and scene
understanding tasks, such as robot
vision and remote surveillance, calls
for faster computation than that
possible using the traditional serial
computer. The advent of VLSI has
made feasible the consideration of
more specialized processing
architectures, designed to support
these data rates, while keeping
systems compact and relatively
cheap. Two approaches are
discussed: the use of a
programmable processor array,
and the customizing of image
processing algorithms in silicon. This
paper examines designs based on
each approach in light of the
techniques & constraints of VLSI