文中分析了系统的工作原理，设计了硬件电路和双模控制算法。最后给出系统实验结果。
Also, this paper analyses the system working principle, the design of hardware circuits and the double-mode control algorithm, with the experimental results given eventually.
该切分算法在基于能量的语音切分算法基础上，结合了双模态语料库的一些特征，实现了对语料的自动切分。
This segmentation algorithm combines the speech segmentation approach based on energy with the characters of the database. Now, the automatic segmentation in the Bimodal Database can be realized.
尝试提出了变步长双模式恒模算法，并与神经网络结合应用于盲均衡研究中。
This paper presents variable step dual model constant modulus algorithm, which combine with neural network for blind equalization in nonlinear channel.
在此基础上又提出一种双模式均衡方案：多模算法模式和常数模算法模式。
Then, we present a scheme which is capable of operating in two modes:constant modulus algorithm mode and multiple modulus algorithm mode.
基于结构动力学理论，提出了一种用于分析计算复杂非线性隔冲减振系统的双模型两步计算法。
Based on the dynamics of structure, this paper presented apratical method of two steps by double model for calculating the complexity shock-isolating system with nonlinear stiffness.
针对模糊控制算法的不足，建立了双模控制器，用传统的PID算法优化模糊控制器。
For the shortage of fuzzy controller, the double model controller was adopted, optimizing fuzzy controller through traditional PID controller.
为解决修正常系数模板算法（MCMA）收敛速度缓慢的问题，在MCMA算法的基础上，给出了一种变步长双模式MCMA算法。
To solve the problem of slow convergence in the modified constant modulus algorithm (MCMA), a variable step and dual mode blind equalization algorithm is proposed, based on the MCMA algorithm.
论文对适合唇读研究的连续音节双模态语料库及其语料切分算法的设计和研究工作进行了讨论。
The topic of this paper is about the design of Bimodal Database for continuous Lip-Reading and the research on its material segmentation.
在语音唇读双模态数据库上的实验证明，该算法优于同步早期融合法和同步双流HM M融合法。
At last, experiments on bimodal database showed that coupled HMM fusion strategy is more better than synchronism fusion strategy.
在语音唇读双模态数据库上的实验证明，该算法优于同步早期融合法和同步双流HM M融合法。
At last, experiments on bimodal database showed that coupled HMM fusion strategy is more better than synchronism fusion strategy.
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