In this paper,convex optimization theory is introduced into the recognition of communication signals. The detailed content contains three parts. The first part gives a survey of basic concepts,main technology and reco...In this paper,convex optimization theory is introduced into the recognition of communication signals. The detailed content contains three parts. The first part gives a survey of basic concepts,main technology and recognition model of convex optimization theory. Special emphasis is placed on how to set up the new recognition model of communication signals with multisensor reports. The second part gives the solution method of the recognition model,which is called Logarithmic Penalty Barrier Function. The last part gives several numeric simulations,in contrast to D-S evidence inference method,this new method can also generate reasonable recognition results. Moreover,this new method can deal with the form of sensor reports which is more general than that allowed by the D-S evidence inference method,and it has much lower computation complexity than that of D-S evidence inference method. In addition,this new method has better recognition result,stronger anti-interference and robustness. Therefore,the convex optimization methods can be widely used in the recognition of communication signals.展开更多
为了减小能耗,提高效率,实现电路贴片化,同时又能获得比较理想的音质,提出了一种D类功率放大器设计方案。以STA335BW为主芯片,配以优质的二阶低通滤波器,就能构成高性能的D类功率放大器。实践表明,此功率放大器的输出功率可达2×16...为了减小能耗,提高效率,实现电路贴片化,同时又能获得比较理想的音质,提出了一种D类功率放大器设计方案。以STA335BW为主芯片,配以优质的二阶低通滤波器,就能构成高性能的D类功率放大器。实践表明,此功率放大器的输出功率可达2×16 W,总谐波失真度(THD)在1%以下,电路效率可达90%,频响范围可达20 Hz^20 k Hz。该放大器可用于数字声像设备中,具有广阔的应用前景。展开更多
基金Sponsored by the Nation Nature Science Foundation of China(Grant No.61301095,61201237)the Nature Science Foundation of Heilongjiang Province of China(Grant No.QC2012C069)the Fundamental Research Funds for the Central Universities(Grant No.HEUCFZ1129,HEUCF130810,HEUCF130817)
文摘In this paper,convex optimization theory is introduced into the recognition of communication signals. The detailed content contains three parts. The first part gives a survey of basic concepts,main technology and recognition model of convex optimization theory. Special emphasis is placed on how to set up the new recognition model of communication signals with multisensor reports. The second part gives the solution method of the recognition model,which is called Logarithmic Penalty Barrier Function. The last part gives several numeric simulations,in contrast to D-S evidence inference method,this new method can also generate reasonable recognition results. Moreover,this new method can deal with the form of sensor reports which is more general than that allowed by the D-S evidence inference method,and it has much lower computation complexity than that of D-S evidence inference method. In addition,this new method has better recognition result,stronger anti-interference and robustness. Therefore,the convex optimization methods can be widely used in the recognition of communication signals.
文摘为了减小能耗,提高效率,实现电路贴片化,同时又能获得比较理想的音质,提出了一种D类功率放大器设计方案。以STA335BW为主芯片,配以优质的二阶低通滤波器,就能构成高性能的D类功率放大器。实践表明,此功率放大器的输出功率可达2×16 W,总谐波失真度(THD)在1%以下,电路效率可达90%,频响范围可达20 Hz^20 k Hz。该放大器可用于数字声像设备中,具有广阔的应用前景。
