高频小信号放大器与高频功率放大器之对比学习

根据高频小信号放大器与高频功率放大器的工作原理，简单阐述两者的不同之处，以便于学生的全面掌握。     

奇偶相干态的Wehrl熵和Shannon熵

研究了奇、偶相干态的Ｗｅｈｒｌ熵和Ｓｈａｎｎｏｎ熵，结果表明，其Ｗｅｈｒｌ熵随总噪声的增加而增大，并趋向同一个常数。Ｓｈａｎｎｏｎ熵随力学量起伏的减小而减小，且这两种态的Ｓｈａｎｎｏｎ熵均可小于相干态的Ｓｈａｎｎｏｎ熵，但这时并不与压缩效应的出现相对应，因而Ｓｈａｎｎｏｎ熵不能成为压缩存在的判据。     

Energy-Momentum Pseudo-Tensor of Relic Gravitational Wave of Both the Polarized States

Unlike usual celestial gravitational waves, the relic gravitational waves （RGWs） form random signals in curved spacetime background. We calculate the energy-momentum pseudo-tensor of a certain component of the RGWs propagating along arbitrary directions in Cartesian coordinates. It is found that the energy density of RGWs is positive definitely, and the momentum density components have reasonable behaviour. Such results may provide a theoretical basis for the detection of RGWs.     

变参数波振器中小信号增益公式

利用微扰展开技术推导出变参数波振器的小信号增益两个近似求积表达式并将其计算结果与数值模拟结果进行了比较,二者吻合很好。利用近似解析式对小信号增益进行了初步探讨,得到了电子入射能量可低于初始谐振能,能散度允许范围受波振器设计影响以及降低锥度改变率可提高小信号增益等新结论。     

植物抗盐的研究进展

植物抗盐研究内容涉及从盐害信号的识别，信号转导直到基因表达的调控，最后表现为离子平衡和水分平衡的重建，及渗调物质的合成和其他生理生化变化的个个方面，植物抗盐是多基因调控的综合性数量性状。     

低空目标噪声模型

低空目标噪声模型李云，贾民生（青岛大学计算中心，青岛２６６０７１）关键词：噪声模型；地空武器系统在地空武器系统大型仿真实验中，要求加入检飞试验中测量低空目标所带来的噪声误差信号．传统的方法是将磁带机记录的噪声信号直接加入仿真模型中，这种方法极不方便，...     

Detecting emboli from Doppler ultrasound signals with the wavelet packet analysis method

A Doppler ultrasound analysis method based on wavelet package transform was proposed for embolic detection. The embolic Doppler signal was firstly decomposed using the wavelet packet. Then the sensitive characteristics were calculated from each sub-band signal and used in the emboli classification. This method was applied to analyze 300 cases simulated and 163 cases clinical Doppler signals. The minimum error ratio of embolic detection using this method was 13 percents lower than that using the traditional spectrogram analysis method.It was shown that this method overcame the limit between the time and frequency resolution in the short time Fourier transform, improved the accuracy of embolic detection greatly and extracted more reliable parameters for the clinical diagnosis.     

An approach to the detection of underwater remote target

An approach to the detection of underwater remote target by estimating its backscattering coefficient is presented. The key to this approach is that the echo signal is represented in state-variable model and the back-scattering coefficients of target are contained in dynamic noise of this model, thus underwater target can be detected by estimating this dynamic noise, i.e., deconvolving this model. When all noise statistics are a priori known, an optimum deconvolution algorithm based on the optimum state filter is derived, or else, an adaptive deconvolution algorithm based on the adaptive state filter of alternatively estimating the vector state and the noise statistics is developed. In the final simulation test, an echo signal with SNR equal to -6.1 dB is proceeded using the aforementioned two deconvolution algorithms, respectively, and the results demonstrate good performance of the approach.