声波测温技术中信号频率的选择是提高测温准确性的关键。为探究低频声波在松散煤体中的最优传播频率,以褐煤、焦煤、无烟煤作为研究对象,运用传声损失实验测试系统,测试了3种煤样在0.9~<3、3~<5、5~<7、7~10、9~10、>10 mm ...声波测温技术中信号频率的选择是提高测温准确性的关键。为探究低频声波在松散煤体中的最优传播频率,以褐煤、焦煤、无烟煤作为研究对象,运用传声损失实验测试系统,测试了3种煤样在0.9~<3、3~<5、5~<7、7~10、9~10、>10 mm 6种粒径下的传声损失。结果表明:所有煤样的传声损失随着声波频率的增大而呈现波浪式上升形状,相较于其它粒径煤样,0.9~<3 mm范围内煤样的传声损失最大;随着煤样粒径的增加,煤样传声损失不断增加,且传声损失最低点对应的声波频率也不断增大,煤样的煤化程度对传声损失的影响没有表现出明显规律性,煤样粒径是影响煤样传声损失变化的主要因素,并且声波主要是沿着松散煤体粒径间的空隙传播;通过对比分析传声损失的极大值与极小值,发现不同粒径煤样的传声损失在250~600 Hz与900~1600 Hz之间存在极大值,其传声损失极大值范围在4.66~7.64 dB之间;通过测试3种煤样混样在低频声波中的传声损失,确定了松散煤体中最优传声频率范围为600~900 Hz。展开更多
To improve the coding performance of H.264/AVC, this paper proposes a rate control scheme composed of a novel flame complexity optimized selection and a quantization parameter （QP） value computation approach. First,...To improve the coding performance of H.264/AVC, this paper proposes a rate control scheme composed of a novel flame complexity optimized selection and a quantization parameter （QP） value computation approach. First, it extracts the frame coding complexity from two rate distortion models, and then introduces five statistic modes to estimate the frame coding complexity. An optimal mode is selected according to the coding efficiency. Finally the paper presents a novel QP calculation method for the H.264/AVC rate control. Experimental results show that the proposed algorithra outperforms the algorithm integrated in the 3M model in obtaining precise frame coding complexity, achieving robust buffer control and improving coding quality. And the improving visual quality is high up to 0.90dB for CIF sequences.展开更多
基金Supported by the Nat：onal Natural Science Foundation of China （No. 60873185） and the Foundation of Science ＆ Technology Department of Sichuan Province （No. 2011HH0037）.
文摘To improve the coding performance of H.264/AVC, this paper proposes a rate control scheme composed of a novel flame complexity optimized selection and a quantization parameter （QP） value computation approach. First, it extracts the frame coding complexity from two rate distortion models, and then introduces five statistic modes to estimate the frame coding complexity. An optimal mode is selected according to the coding efficiency. Finally the paper presents a novel QP calculation method for the H.264/AVC rate control. Experimental results show that the proposed algorithra outperforms the algorithm integrated in the 3M model in obtaining precise frame coding complexity, achieving robust buffer control and improving coding quality. And the improving visual quality is high up to 0.90dB for CIF sequences.
