HW-SPAR3AN-SK-UNI-G
HW-SPAR3AN-SK-UNI-G
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AMD Xilinx

HW-SPAR3AN-SK-UNI-G


HW-SPAR3AN-SK-UNI-G
F20-HW-SPAR3AN-SK-UNI-G
Active
KIT STARTER SPARTAN-3 AN

HW-SPAR3AN-SK-UNI-G ECAD Model


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HW-SPAR3AN-SK-UNI-G Attributes


Type Description Select
Mfr AMD Xilinx
Series Spartan®-3AN
Package Box
Type FPGA
For Use With/Related Products XC3S700AN
Platform Spartan-3AN FPGA Starter Kit UNI
Contents Board(s), Cable(s), Power Supply
Base Product Number XC3S700

HW-SPAR3AN-SK-UNI-G Datasheet Download


HW-SPAR3AN-SK-UNI-G Overview



The Xilinx model HW-SPAR3AN-SK-UNI-G is a development kit designed for engineers and researchers who are interested in the field of digital signal processing (DSP) and real-time computing applications. It is a complete set of hardware and software tools that enable users to quickly develop and test DSP algorithms using the SPAR3AN FPGA platform.


The HW-SPAR3AN-SK-UNI-G kit features a SPAR3AN FPGA board, which is a high-performance, low-power consumption device that can implement complex DSP algorithms in real-time. The board also includes a variety of I/O interfaces, such as high-speed serial interfaces, Ethernet, USB, and audio interfaces, which allow users to interface with other peripheral devices and systems.


In addition to the hardware, the kit includes a comprehensive set of software development tools, such as the Xilinx ISE Design Suite and the EDK toolchain, as well as reference designs and application notes that demonstrate how to implement DSP algorithms using the SPAR3AN platform.


The SPAR3AN FPGA board is particularly useful in applications such as audio and video processing, software-defined radios, medical imaging, and control systems, where real-time computation is critical. The board’s flexible architecture and vast processing power make it an ideal platform for prototyping and implementing cutting-edge DSP algorithms and systems.


Overall, the Xilinx HW-SPAR3AN-SK-UNI-G kit is a powerful and versatile development platform that enables engineers and researchers to explore the vast potential of real-time DSP computing applications.



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