【Key words】 Information Processing Technology； Compressive feedback； Compressed Sensing； Wireless Multimedia Sensor Network(WMSN)； Video Stream Quality Index(VSQI)；
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The random measurement matrix associated with VSQI signal,and reconstruction guidelines is finded. It proves that CS based Compressive feedback method can reduce the processing complexity of sensing node side and enhance the degree of compression from the simulation results.
由于WMSN中传输的数据主要是音频和视频流等多媒体数据而且传感器节点数众多而导致产生巨大的信息反馈量,为此对压缩感知(Compressed/Compressive Sensing,CS)理论应用到VSQI压缩反馈中进行了研究,寻找并验证了与所处理的VSQI信号相关的随机测量矩阵与重建准则,仿真实验结果证明基于压缩感知的压缩反馈方法可以降低感知节点端处理复杂度、增强反馈压缩程度。
参考来源 - WMSN中基于压缩感知的VSQI压缩反馈The random measurement matrix associated with VSQI signal,and reconstruction guidelines is finded. It proves that CS based Compressive feedback method can reduce the processing complexity of sensing node side and enhance the degree of compression from the simulation results.
由于WMSN中传输的数据主要是音频和视频流等多媒体数据而且传感器节点数众多而导致产生巨大的信息反馈量,为此对压缩感知(Compressed/Compressive Sensing,CS)理论应用到VSQI压缩反馈中进行了研究,寻找并验证了与所处理的VSQI信号相关的随机测量矩阵与重建准则,仿真实验结果证明基于压缩感知的压缩反馈方法可以降低感知节点端处理复杂度、增强反馈压缩程度。
参考来源 - WMSN中基于压缩感知的VSQI压缩反馈·2,447,543篇论文数据，部分数据来源于NoteExpress
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