With the increase in the quantity and scale of Static Random-Access Memory Field Programmable Gate Arrays (SRAM-based FPGAs) for aerospace application, the volume of FPGA configuration bit files that must be stored ha...With the increase in the quantity and scale of Static Random-Access Memory Field Programmable Gate Arrays (SRAM-based FPGAs) for aerospace application, the volume of FPGA configuration bit files that must be stored has increased dramatically. The use of compression techniques for these bitstream files is emerging as a key strategy to alleviate the burden on storage resources. Due to the severe resource constraints of space-based electronics and the unique application environment, the simplicity, efficiency and robustness of the decompression circuitry is also a key design consideration. Through comparative analysis current bitstream file compression technologies, this research suggests that the Lempel Ziv Oberhumer (LZO) compression algorithm is more suitable for satellite applications. This paper also delves into the compression process and format of the LZO compression algorithm, as well as the inherent characteristics of configuration bitstream files. We propose an improved algorithm based on LZO for bitstream file compression, which optimises the compression process by refining the format and reducing the offset. Furthermore, a low-cost, robust decompression hardware architecture is proposed based on this method. Experimental results show that the compression speed of the improved LZO algorithm is increased by 3%, the decompression hardware cost is reduced by approximately 60%, and the compression ratio is slightly reduced by 0.47%.展开更多
为了解决多功能视频编码(versatile video coding,VVC)标准下具有相同编码参数的视频双压缩检测方法准确率不高的问题,提出了一种基于编码单元(coding unit,CU)尺寸、划分模式和预测模式的检测方法。对待检测的视频进行多次编解码,分析...为了解决多功能视频编码(versatile video coding,VVC)标准下具有相同编码参数的视频双压缩检测方法准确率不高的问题,提出了一种基于编码单元(coding unit,CU)尺寸、划分模式和预测模式的检测方法。对待检测的视频进行多次编解码,分析并确定VVC流中与压缩编码次数密切相关的基础码流特征;以CU尺寸、划分模式和预测模式构建高级码流特征输入支持向量机完成视频的双压缩检测。实验结果表明,与对比文献的方法相比,所提方法的视频双压缩检测准确率有较大提升,平均准确率达到了95.82%。展开更多
阐述广播电视播出中的码流自适应调整技术的现状,介绍基于超文本传输协议(Hyper Text Transfer Protocol,HTTP)的动态自适应流媒体技术的广泛应用及优势。同时,分析高精度码流自适应调整技术面临的挑战,涵盖算法复杂度与实时性冲突、视...阐述广播电视播出中的码流自适应调整技术的现状,介绍基于超文本传输协议(Hyper Text Transfer Protocol,HTTP)的动态自适应流媒体技术的广泛应用及优势。同时,分析高精度码流自适应调整技术面临的挑战,涵盖算法复杂度与实时性冲突、视频编码技术局限性以及设备性能与兼容性问题,并提出相应的对策,旨在为高精度码流自适应调整技术的发展提供理论支持和实践指导。展开更多
基金supported in part by the National Key Laboratory of Science and Technology on Space Microwave(Grant Nos.HTKJ2022KL504009 and HTKJ2022KL5040010).
文摘With the increase in the quantity and scale of Static Random-Access Memory Field Programmable Gate Arrays (SRAM-based FPGAs) for aerospace application, the volume of FPGA configuration bit files that must be stored has increased dramatically. The use of compression techniques for these bitstream files is emerging as a key strategy to alleviate the burden on storage resources. Due to the severe resource constraints of space-based electronics and the unique application environment, the simplicity, efficiency and robustness of the decompression circuitry is also a key design consideration. Through comparative analysis current bitstream file compression technologies, this research suggests that the Lempel Ziv Oberhumer (LZO) compression algorithm is more suitable for satellite applications. This paper also delves into the compression process and format of the LZO compression algorithm, as well as the inherent characteristics of configuration bitstream files. We propose an improved algorithm based on LZO for bitstream file compression, which optimises the compression process by refining the format and reducing the offset. Furthermore, a low-cost, robust decompression hardware architecture is proposed based on this method. Experimental results show that the compression speed of the improved LZO algorithm is increased by 3%, the decompression hardware cost is reduced by approximately 60%, and the compression ratio is slightly reduced by 0.47%.
文摘为了解决多功能视频编码(versatile video coding,VVC)标准下具有相同编码参数的视频双压缩检测方法准确率不高的问题,提出了一种基于编码单元(coding unit,CU)尺寸、划分模式和预测模式的检测方法。对待检测的视频进行多次编解码,分析并确定VVC流中与压缩编码次数密切相关的基础码流特征;以CU尺寸、划分模式和预测模式构建高级码流特征输入支持向量机完成视频的双压缩检测。实验结果表明,与对比文献的方法相比,所提方法的视频双压缩检测准确率有较大提升,平均准确率达到了95.82%。
文摘阐述广播电视播出中的码流自适应调整技术的现状,介绍基于超文本传输协议(Hyper Text Transfer Protocol,HTTP)的动态自适应流媒体技术的广泛应用及优势。同时,分析高精度码流自适应调整技术面临的挑战,涵盖算法复杂度与实时性冲突、视频编码技术局限性以及设备性能与兼容性问题,并提出相应的对策,旨在为高精度码流自适应调整技术的发展提供理论支持和实践指导。
