Paper Details
Using an Adaptable Network Model, High Bandwidth Information and Visuals arrive at their Destination with Integrated real-time Data Compression
Authors
Rekha P, Vishalakshi V, Chamaraju Y S
Abstract
Description outlines an impressive solution to the bottleneck issue in data transmission for imaging systems. Integrating lossless data compression into the scalable transceivers is a clever way to optimize data flow without increasing the bit rate. Implementing the system entirely on an FPGA with a hardware-based architecture ensures efficiency and adaptability. Using the Terasic DE4 board for implementation and testing, along with Quartus-II software and debugging tools, provides a solid foundation for development. The comparison of compressing and conveying data over parallel lines versus compressing within a single core highlights the effectiveness of your approach. Achieving compression ratios ranging between 7.5 and 126.8 demonstrates significant data reduction without compromising quality, which is crucial for efficient data transmission in imaging applications. This scalable connection system seems promising, especially with the integration of lossless data compression to enhance data flow within fixed bit rates. Implementing it entirely on an FPGA with a hardware-based architecture adds to its efficiency and flexibility.The scalable serial connection technology has been improved with lossless data compression, with the goal of increasing dataflow at a constant bit rate. The compression mechanism is integrated into the scalable transceivers, providing a comprehensive solution for efficient data transport over a variety of interfaces. The entire system is built on an FPGA, with a completely hardware-based architecture. Overall, your system seems to offer a comprehensive and scalable solution for optimizing data transfer in various imaging systems.
Keywords
High Bandwidth, Adaptable network, Real-time data, Data compression, Serial buses
Citation
Using an Adaptable Network Model, High Bandwidth Information and Visuals arrive at their Destination with Integrated real-time Data Compression. Rekha P, Vishalakshi V, Chamaraju Y S. 2017. IJIRCT, Volume 3, Issue 6. Pages 97-104. https://www.ijirct.org/viewPaper.php?paperId=1706013