基于听感知特征的语种识别

为了在语种识别时充分利用人的听感知特性提高识别性能,提出了一种基于听感知模型的特征。听感知特征采用Gammatone滤波器组代替常用的三角滤波器组计算语音信号各子带能量;根据等效矩形带宽模型,确定各滤波器的中心频率与带宽;使用反置等响度曲线模拟人耳对信号不同频率成分的主观响度感受。在基本听感知特征的基础上,还提出了一、二阶差分特征和偏移差分特征用于语种识别。对比实验表明,该文所提的听感知特征性能均优于目前普遍使用的Mel频率倒谱系数(MFCC)特征及其衍生特征。     

指纹识别在OA办公系统中的应用

随着世界信息化步伐的加速,网络已经深入到我们的生活中,特别是对政府及企业来说,互联网信息和应用是政府或企业最重要的战略性资产,它们是实现生产率和竞争优势最大化的关键所在,但OA系统的安全也日益严重,身份盗用冒用等现象越来越频繁,本文以OA办公系统作为具体案例说明生物识别认证技术的应用。     

Ballistics firearm identification by digital holography

The need for firearm identification systems by police services continues to increase with greater accessibility to weapons in the national and international contexts. The difficulties associated with traditional imaging of ballistics specimens are numerous, and include the smallness of the samples, the nature of the surfaces and shapes for the cartridge cases and projectiles. The digital holography has been introduced to create the 3D image of the fired bullets in order to identify firearms. In digital holography a CCD camera records optically generated holograms which is then reconstructed numerically by a calculation of scalar diffraction in the Fresnel approximation. The digital photography facilitates real time transmission of the message via traditional communication methods. In this paper the principle of digital holography and its application to the 3D image encryptiondecryption were reviewed. The experimental results of firearm identification recording using digital holography and their numerical reconstruction were presented.     

Chaos identification based on CMAC with replacing eligibility learning

In the conventional CMAC learning scheme, the correcting amounts of errors are equally distributed into all addressed weight, regardless the temporal credibility of those weights. In order to solve the temporal credit assignment problem of the CMAC, an improved CMAC neural network based on replacing eligibility learning concept was designed. The proposed improved leaning approach uses the replacing eligibility learning concept of the reinforcement learning to improve the prediction capability. The simulations for chaotic system identification show that the improved CMAC neural network is effective.     

基于感应电机磁链观测器的速度辨识

针对模型参考自适应速度辨识方法虽然其辨识精度高,但其数学模型复杂,而且在实时控制中需要高速控制器与之匹配等不足,提出一种结构简单且易于实现的感应电机直接转矩控制中转子磁链的观测方法,建立感应电机转子磁链及磁链转差理论模型,并对电机转速进行估算.仿真研究结果表明:该方法能够用于提高低速观测精度,并对电机参数的变化表现出良好的系统鲁棒性.     

简支梁损伤识别的特征方程曲线交点法

基于扭转弹簧模型的裂纹梁振动分析,推导了含单边边缘裂纹简支梁振动频率特征方程,提出了“特征方程曲线交点法”结合“附加质量”的方法．通过绘制相应于损伤梁前几阶固有频率的裂纹深度一位置的关系曲线,并求解其交点识别裂纹参数,解决了由于简支梁的对称性导致的损伤位置的误判问题．数值模拟结果显示,本文方法具有很好的识别精度．     

基于小波分析的弹性板损伤识别

以含有损伤的四边简支矩形板为研究对象,采用等效刚度代替板内损伤带的刚度,建立了含有多条损伤带的弹性板有限元模型.运用有限元法分析板的振动特性,由Lanczos法计算得到沿板边两个方向的转角模态.通过对板的转角模态进行db1连续小波变换,利用小波系数模极大值点判断板内损伤带的位置,给出了一种识别弹性板损伤的方法.通过对一含3条损伤带的四边简支矩形板进行损伤识别,验证了方法的有效性.     

有色噪声干扰系统的参数辨识递推算法

为了辨识受有色噪声干扰的系统参数,提出一种递推算法。该算法由系统部分的参数估计和噪声部分的参数估计2部分组成。系统参数估计采用的是包含当前预报误差和之前估计误差的递推算法辨识。噪声部分参数则是采用扩展的最小二乘算法辨识。该文对新的递推算法进行了仿真,实验结果显示该算法能够降低噪声对参数估计的影响,减小估计误差,较精确地辨识出受有色噪声干扰系统的参数。     

鬼箭羽药材的薄层色谱鉴别

对鬼箭羽的各主要成分进行了定性研究。采用现代薄层色谱(TLC)技术对鬼箭羽中何帕22(29)-烯-3β-醇、β-谷甾醇、羽扇豆酮、白桦酯醇、齐墩果酸、雷公藤内酯甲进行了色谱鉴别,结果表明,用TCL技术鉴别鬼箭羽,方法的专属性强,重现性好,操作简便,完全可以作为鬼箭羽药材的质量控制标准。