We apply graph matching method to detect infrared small moving targets using image sequences. Candidates(interest points) detected in the first frame form one graph and the same candidates in the last frame form anoth...We apply graph matching method to detect infrared small moving targets using image sequences. Candidates(interest points) detected in the first frame form one graph and the same candidates in the last frame form another one. The real moving targets are extracted by matching these two graphs. Experimental results demonstrate that the proposed method is robust and efficient to the translation and rotation of the background.展开更多
In this paper, we describe an improved adaptive partial response maximum likelihood(PRML) method combining modulation code for signal waveform modulation multi-level disc. This improved adaptive PRML method employs pa...In this paper, we describe an improved adaptive partial response maximum likelihood(PRML) method combining modulation code for signal waveform modulation multi-level disc. This improved adaptive PRML method employs partial response equalizer and adaptive viterbi detector combining modulation code. Compared with the traditional adaptive PRML detector, the improved PRML detector additionally employs illogical sequence detector and corrector. Illogical sequence detector and corrector can avoid the appearance of illogical sequences effectively, which do not follow the law of modulation code for signal waveform modulation multi-level disc, and obtain the correct sequences. We implement the improved PRML detector using a DSP and an FPGA chip. The experimental results show good performance. The higher efficient and lower complexity can be obtained by using the improved PRML method than by using the previous PRML method. Meanwhile,resource utilization of the improved PRML detector is not changed, but the bit error rate(BER) is reduced by more than20%.展开更多
基金supported by the National Natural Science Foundation of China under Grant No.61403412
文摘We apply graph matching method to detect infrared small moving targets using image sequences. Candidates(interest points) detected in the first frame form one graph and the same candidates in the last frame form another one. The real moving targets are extracted by matching these two graphs. Experimental results demonstrate that the proposed method is robust and efficient to the translation and rotation of the background.
基金Project supported by the National Natural Science Foundation of China (Grant No. 61127010). 1E-mail: wanghq_1230@tju.edu.cn
文摘In this paper, we describe an improved adaptive partial response maximum likelihood(PRML) method combining modulation code for signal waveform modulation multi-level disc. This improved adaptive PRML method employs partial response equalizer and adaptive viterbi detector combining modulation code. Compared with the traditional adaptive PRML detector, the improved PRML detector additionally employs illogical sequence detector and corrector. Illogical sequence detector and corrector can avoid the appearance of illogical sequences effectively, which do not follow the law of modulation code for signal waveform modulation multi-level disc, and obtain the correct sequences. We implement the improved PRML detector using a DSP and an FPGA chip. The experimental results show good performance. The higher efficient and lower complexity can be obtained by using the improved PRML method than by using the previous PRML method. Meanwhile,resource utilization of the improved PRML detector is not changed, but the bit error rate(BER) is reduced by more than20%.