KEYWORDS: Neural networks, Field programmable gate arrays, Systems modeling, Breast cancer, Pattern recognition, Data mining, Signal processing, Logic devices, Computing systems, Computer aided diagnosis and therapy
SOPC (System on Programmable Chip) is an on-chip programmable system based on large scale Field Programmable
Arrays (FPGAs). This paper presented an implementation of an SOPC system with a custom hardware neural network
using Altera FPGA chip-EP2C35F672C. The embedded Nios processor was used as the test bench. The test result
showed that the SOPC Platform with hardware neural network is faster than the software implementation respectively
and the accuracy of the design meets the requirement of system. The verified SOPC system can closely model real-world
system, which will have wide applications in different areas such as pattern recognition, data mining and signal
processing.
Discrete Cosine Transform (DCT) is widely applied in image and video compression. This paper presented the software and hardware co-design method based on SystemC. As a case of study, a two dimension (2D) DCT Algorithm was implemented on Programmable Gate Arrays (FPGAs) chip. The short simulation time and verification process greatly increases the design efficiency of SystemC, making the product designed by SystemC more quickly into the market. The design effect using SystemC is compared between the expertise hardware designer and the software designer with little hardware knowledge. The result shows SystemC is an excellent and high efficiency hardware design method for an
expertise hardware designer.
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