Electric Vehicle of Direct Torque Control System Based on TMS320LF2407 Controller

A fully digitized electric vehicle direct torque control system with DSPTMS320LF2407 controller is described. The system hardware and software structures are presented. The performance of the direct torque control system is studied by simulation with MATLAB. Based on the simulation of the induction motor, waveform of current, speed, torque and flux are obtained. The testing results are also presented. Experimental results show that the design is feasible.     

Application of Intelligent Neural Network on Prediction of Time Series Signal

The research of neural network has been maturated both in theory and practical application since 1980's, and also been employed into the prediction and analysis of nonlinear time series signal in the field of signal process system. Concerning with the problem of time series signal prediction based on traditional neural network, such as black box, poor accuracy, and facing the shortage of post knowledge, this paper presents a different neural network prediction model from the traditional ones, based on intelligent neural cell model and employing the iterative prediction method. Through the example on stock price prediction, the prediction accuracy and practical value are proved.     

基于小波包原理的蚕茧无损检测研究

提出了基于声学的蚕茧无损检测新方法，研究了利用小波包原理提取噪声信号的特征值的方法。噪声信号经过小波包分解后，得到各频段内的信号，将各频段内信号的能量谱作为识别蚕蛹质量的特征值。结果表明，通过小波包原理提取的能量谱特征值能有效地识别出蚕蛹的质量，解决了蚕茧无损检测过程中难找出与蚕蛹质量有关的信号特征值的难题。     

Feature extraction and recognition technique for human pulse signals

In Chinese traditional medicine, the pulse signal plays an important role for diagnosis. To investigate the effective technique for identifying heroin druggers through the pulse signal, the feature extraction algorithm based on the biocepstrum and the third-order cepstrum entropy of the pulse signal is studied. On the basis of concise and rigorous discussion for the algorithm, the biocepstrum-based diagonal slice components are estimated for human pulse signals of 20 heroin druggers and 20 healthy normal subjects. The magnitude of the sample value of diagonal slice at m=n=1 and the third-order cepstrum entropy of magnitudes of sample values of the diagonal slice within a particular region are used as two feature parameters for every human pulse signal to form a feature vector. A classifier based on the criterion of squared Mahalanobis distance is successfully designed. Applying the designed classifier to 40 feature vectors, the correct identification rate reaches 87.5%. The research result shows that the method of the feature extraction and classifier design presented in is valuable for identifying the human pulse signals of heroin druggers.     

生物生态环境因子电信号放大器的低噪声设计

在描述放大器主要的噪声指标─—噪声系数和对对Ｅ＿ｎ、Ｉ＿ｎ的分析基础上，提出了生物生态环境因子电信号放大器的低噪声设计原则，为生态环境因子的微机监控系统可靠运行提供技术基础。     

辅助信号设计对故障检测SPRT法的影响

本文讨论了常用故障检测ＳＰＲＴ法及辅助信号设计对该法平均故障检测时间和误报警概率的影响，得出采用辅助信号设计可修正ＳＰＲＴ性能的结论，并给出了仿真结果。     

高等植物侧芽、侧枝的发生及调控

高等植物侧芽和侧枝的发育是受多种因素调节控制的.目前已经发现许多与侧生组织相关的基因,它们调控侧芽与侧枝的形成和发育,决定植株的形态结构;可长距离运输的信号物质在植物侧生组织的形成和发育、植物从营养生长到生殖生长的过渡中都发挥重要调控作用;植物激素参与了包括侧芽、侧枝的发育、植物的生长等多种生命过程的调节与控制;光周期经常和植物的基因型、植物激素等诸多种因子一起共同发挥作用,来调节植物侧生组织的形成和发育.调节植物的侧芽和侧枝发育的多种因素构成了一个网络系统,只有用综合研究的手段才可以知道网络系统中的各种因子之间的相互影响与相互作用.     

外源NO和ABA对杨树气孔运动和SOD及POD活性的影响

研究了外源NO和脱落酸(ABA)对杨树气孔运动和SOD、POD活性的影响。结果表明：NO和ABA均可诱导杨树叶片气孔关闭，且NO有加强ABA诱导气孔关闭的作用。NO清除剂(C—PTIO)能显抑制NO和ABA对气孔关闭的诱导效应。不同浓度硝普钠(SNP)和ABA处理杨树离体叶片，SOD活性变化不明显，POD活性受到显抑制。粗酶液的体外实验结果表明，不同浓度SNP对POD活性的抑制呈明显的浓度及时间效应；而ABA对POD活性则几乎没有影响。说明在ABA调控气孔运动的过程中需要NO的参与，由此推测ABA对杨树叶片气孔运动的调节与NO对POD的抑制有关。     

噪声对瞬时测频接收机性能的影响

瞬时测频接收机性能最基本的要求就是测频精度，而空问内的各种非接收信号的电磁辐射源和由于各种反射体引起与接收信号路程差的反射信号等噪声信号，对瞬时测频接收机的测频精度和频率的分辨力的性能有着不可忽视的影响，并且这种影响具有不确定性。本文着重分析了噪声对瞬时测频接收机测频误差、系统的灵敏度及接收机的虚警概率和探测概率所造成的影响。     

植物系统获得抗性中的信号

系统介绍了植物系统获得抗性中的信号，包括水杨酸（SA）、茉莉酸（JA）及其甲酯（MeJA)、系统素（systemin)、乙烯等信号分子和电信号。