多模态

• The theory of laplace wavelet was analyzed . a correlation filtering approach was introduced using the laplace wavelet to decompose a signal into impulse responses of single mode subsystems . modal parameters can be estimated by correlation filtering signal with laplace wavelet
  分析了laplace小波的理论，研究了利用laplace小波将系统响应信号分解成为单模态系统冲激响应的相关滤波方法，并通过信号与laplace小波族的相关滤波进行了单模态和多模态系统的模态参数估计。
• In this article , the wavelet transform is used to improve the recognition ability of vehicle ' s characters recognition system , because the " microscope " feature and similar - human vision feature can be used in the image analyze . three problems have been solved in this article : ( l ) the core method of recognition is to realize the extraction of stable feature of characters , the algorithm of wavelet feature vector has been given based on the directivity decompose of 2 - dimention wavelet transform , varied grid feature vector has been built too according to the multi - mode owned by the characters
  本文选用小波变换作为数学工具，利用小波的“显微镜”特性和类人视觉特点解决车牌字符的分析和识别问题，以提高车牌字符的识别能力，主要研究了三个方面的问题： ( 1 )识别研究方法的核心是完成字符稳定性特征的提取，采用图像小波变换的方向性分解构造出小波特征向量，并根据字符本身具有的多模态性提出了一种变网格小波特征向量。
• In addition , at this strong coupling , heavy inertia , non - linear , uncertain system , it initial proposes and adopts multi - mode segmented intelligent fuzzy control strategy . the control strategy was carried on the simulation experiment by the data making through producing the scene , having made the good control result . considering still that change of environmental temperature impacts on temperature of steel pipe , in which fbe is colloidized , it put forward the method of adjusting temperature setting value according to environmental temperature
  另外文中又对这一强耦合、大惯性、非线性、不确定系统，提出了采用智能模糊多模态分段控制策略，通过在生产现场取得的数据对该控制策略进行仿真研究，取得了良好的控制效果；还考虑到环境温度变化对fbe胶化时钢管温度的影响，提出了依据环境温度变化调整温度给定值的方法，仿真证明了该算法的有效性。
• There are many methods to control boiler combustion , but they are different from each other , and would be applied in different control purpose . according to the requirement of industry control system , on the basis of comparativeness and analysis of their difference , a control algorism combining do multi - mode control with intelligent multi - mode pid is put forward and will be verified by matlab simulation
  本文在比较分析锅炉现有燃烧控制方案的基础上，根据工业控制的要求研制了基于do多模态与智能多模态pid相结合的控制算法，并通过一定的仿真加以验证。
• Finally , some important conclusions were drawn , that is , using distributed pzt transducers , ultrasonic guided waves are generated and received in a pipe . usually , there are many different modes of guided wave propagating in the pipe and these modes are generally dispersive , the specific exciting signal of a harming windowed toneburst with a central frequency of 70khz for decreasing the effect of dispersion was selected . and guided wave are generated using 16 distributed pzt transducers in a circumferential direction for suppressing flexural modes
  首先，对当前本课题研究领域的进展作出综述，并简要介绍与超声导波技术相关的理论基础；其次，建立了一套有效的实验装置，在此实验装置基础上，重点研究了采用分布式pzt传感器在管中激励和接收特定模态超声导波的方法：根据在管状波导中传播的超声波具有频散现象及多模态特征，选择具有单一频率的特定信号激励超声导波，使其频散最小；同时采用分布式传感器抑制不同模态的波型。
• Structure dynamic damage identification is a research field with a good perspective . in this paper , the method of using the structure multi - modal parameters as the network inputs in the damage diagnosis has a definite physical meaning , especially that measuring few modal steps to make the engineering application easily , both the theory and method are suitable to the average engineering structure
  结构损伤识别是一个发展前景广阔的研究领域，本文研究的以结构多模态参数作为神经网络输入进行损伤识别的方法物理意义明确，需要测取的模态阶数较少，易于在工程实际中实施，其原理和方法适用于一般工程结构。
• Secondly , a algorithm of image registration based nprod ( normalized product ) and gauss - pyramid decomposition is presented , which based on the hypothesis that there is aimier geometric transform among images to be matched , and the a igorithm is proved to be precise and effective in mul - modal image registration , but it ' s count is great
  论文的第二部分介绍了图像匹配技术的基本原理和常用方法，在此基础上提出了基于归一化积相关和高斯塔形分解的配准算法。该算法假定待配准的图像对之间存在埃米尔特变换，能够实现多模态图像间的精确配准，但是计算量较大。
• By analyzing the contacting force error target track between the welding robot and workpiece , the basic control cells , characteristic model , multi - model control and multi - target decision - making rules of human - simulated intelligent parameter - adjusting level control of force sensing are established based on human - simulated intelligent running level control of force sensing in remote welding
  摘要通过分析遥控焊接过程机器人与工件接触力误差目标轨迹，在遥控焊接力觉仿人智能运动控制级控制基础上，建立了遥控焊接力觉仿人智能参数校正级控制基元集合、特征模型、多模态控制和多目标推理决策规则。