说话人识别系统研究

说话人识别与指纹、脸型等识别技术一样是生物特征识 别,是利用包含在说话人的语音波形中特有的 个体信息自动识别说话人身份的过程。可广泛 用于银行、证券系统、网络安全及军队安全系统 中。本文就说话人识别分类、说话人识别实现的 物理基础及说话人识别系统的实现方法作了一 些分析。     

基于小波分解的MIMO系统辨识最优实验设计

提出了一种基于小波分解的MIMO系统辨识最优输入信号的设计方法,将小波的多 分辨率分析应用于MIMO系统的最小二乘辨识中,并且与闭环系统的控制性能指标关联起来, 从而得出一种最优实验的设计方法.由于小波变换的多分辨特性和良好的去相关作用(对有色 噪声的白化作用),这种方法能获得比普通的系统辨识方法更好的结果.仿真实验证明了这种方 法的有效性.     

海藻酸裂解酶的发酵条件优化

通过纯化实验,从海带(Laminariajaponica)得到1株具有较高海藻酸酶活力的菌。对其发酵培养,测定发酵液的酶活力,得出海藻酸酶发酵获得最大酶活力的条件:pH7.5左右,25℃,褐藻酸钠添加量为0.5%,蛋白胨作为主要氮源时,连续培养144h。     

基于ID的一次性盲公钥

盲签名的匿名性不仅能保护个人的隐私，也同样给犯罪分子带来了可乘之机．为了解决这一问题，一些方案利用了可信中心给用户颁发的公私钥，然而，用户的不同活动可由用户的公钥及证书联系起来．为了避免这种联系，本文利用况RSA和Fiat-Shamir身份鉴别方案提出了一种简单易行的方案，只需可信中心给用户颁发一次私钥，而由用户在每次使用时根据该私钥来生成不同的公钥，从而保证了多次使用活动的不可联系性．同时在法院授权许可的情况下，可信中心可以揭示用户的身份，以防止用户的犯罪。     

运用模糊数解决非确定环境下的路由问题

本文基于模糊数学的有关原理,论述了网络环境不确定的条件下路由问题的求解.本文假定网络链路延迟是模糊数,给出了路径延迟小于端到端延迟约束的可信度的定义,提出了路径可信度判定(Path Reliability Decision:PRD),最优可信度路由(Most Optimal Reliability Path:MORP),最优路径分解(Path Optimal Partition:POP),及最优分解路径(Most Optimal Partition Path:MOPP)等问题.本文证明,PRD是多项式可解的,POP可以用等可信度分解实现,一般情况下,MORP和MOPP是等价的.在所有链路延迟的宽度都相同时,MORP转化为约束为跳数的最短路径问题,因此是多项式可解的.最后我们给出了MORP的近似算法,算法的时间复杂度为O(log(ε)^-1(vlog(v)+e)).     

Outliers, inliers and the generalized least trinuned squares estimator in system identification

The least trimmed squares estimator (LTS) is a well known robust estimator in terms of protecting the estimate from the outliers. Its high computational complexity is however a problem in practice. We show that the LTS estimate can be obtained by a simple algorithm with the complexity O( N In N) for large N, where N is the number of measurements. We also show that though the LTS is robust in terms of the outliers, it is sensitive to the inliers. The concept of the inliers is introduced. Moreover, the Generalized Least Trimmed Squares estimator (GLTS) together with its solution are presented that reduces the effect of both the outliers and the inliers.     

A hybrid computational strategy for identification of structural parameters

By identifying parameters such as stiffness values of a structural system, the numerical model can be updated to give more accurate response prediction or to monitor the state of the structure. Considerable progress has been made in this subject area, but most research works have considered only small systems. A major challenge lies in obtaining good identification results for systems with many unknown parameters. In this study, a non-classical approach is adopted involving the use of genetic algorithms (GA). Nevertheless, direct application of GA does not necessarily work, particularly with regards to computational efficiency in fine-tuning when the solution approaches the optimal value. A hybrid computational strategy is thus proposed, combining GA with a compatible local search operator. Two hybrid methods are formulated and illustrated by numerical simulation studies to perform significantly better than the GA method without local search. A fairly large structural system with 52 unknown parameters is identified with good results, taking into consideration the effects of incomplete measurement and noisy data.     

基于负压波的管道泄漏检测与定位技术研究

管道输送因其具有独特的优点已经在各行各业中得到了广泛应用，但日益严重的泄漏问题不仅影响了管输的正常运行，也给人类的生命财产造成了极大的损失。探索一种有效的检测方法已经迫在眉睫。文章对基于负压波的管道泄漏检测与定位技术的方法进行了研究，说明了其优缺点，指出了基于负压波法的管道泄漏检测与定位结构模式识别系统具有很好的发展前景。     

基于Volterra泛函级数的非线性系统的鲁棒辨识

针对弱非线性系统的鲁棒建模问题, 基于Volterra泛函级数, 结合集员辨识理论, 提出了广义频率响应函数的鲁棒辨识方法, 形成了一套较完整的弱非线性系统的鲁棒建模方法, 仿真结果表明该方法是行之有效的.     

Distributed genetic algorithm for Gaussian mixture model based speaker identification

This paper presents a novel algorithm for reducing the computational complexity of identifying a speaker within a Gaussian mixture speaker model (GMM) framework. We have combined distributed genetic algorithm (DGA) and the Markov random field (MRF) to avoid typical local minima for speaker vector quantization. To improve the computation efficiency, only unstable chromosomes corresponding to speaker data parts are evolved. Identification accuracies of 93% were achieved for 100 Mandarin speakers.