拼接代价函数是决定合成音自然度的重要因素之一。
The concatenation cost function is a key factor affecting the naturalness of synthesized speech.
基元抽取问题可以归结为优化问题，即寻找代价函数的全局最小值。
This program can be treated as an optimum program, that is to find the optimum value of a cost function.
最小误码率线性多用户检测的问题可以归结为一个误码率代价函数的问题。
The minimum bit-error rate linear multiuser detection problem can be transformed to a bit-error rate cost function problem.
建立了方向图设计的数学模型，通过最小化代价函数来获得数值优化结果。
A mathematical model of designing a beam pattern is set up, and the method can get the optimized result by minimizing the cost function.
提出了一种新的基于相关矩阵对角化的代价函数作为衡量输出信号独立性的测度。
A new cost function based on the diagonalization of correlation matrices is proposed to measure the independency of output signals.
作者根据约束性代价函数原理提出了能够使得截断误差最小化的中心差分优化算子。
This paper presents an optimization of centered finite-difference operator based on the principle of constrained cost function, which can reduce the truncation error to minimum.
采用自由空间模型，通过控制探测数据的扩散范围，引入路径代价函数实现能量的高效利用。
By controlling diffusion of exploratory messages and making use of cost function, the energy consumption can be more efficient in free space model.
使用一种代价函数作为性能评估标准，并通过仿真实验分析了各种网络延时对PID控制性能的影响。
A cost function is used as the criterion of performance evaluation and simulation is made to analyze the effect of all sorts of network delays on the PID control performance.
该算法通过对正则化线性斜率的自适应，更新动态优化代价函数，以降低对PET图像高频成分的抑制。
This algorithm can adaptively optimize the cost function and reduce the suppression of high frequency component of PET image by adaptively updating linear slope of the RP.
对单元选择的研究主要包括拼接基元种类的选择、构造合理的代价函数及降低计算复杂度从而提高效率等。
Study on unit selection includes the identification of basic synthesis units, the definition of appropriate cost functions, the way to improve efficiency by reducing computational complexity, etc.
建立了基于代价函数的传感器分配优化模型，其中代价函数包括跟踪系统偏差代价和资源消耗代价两部分。
The optimal sensor allocation model based cost function is built, and the cost function includes the bias of tracking state and resource consumed.
其次，通过分析代价函数的稳定点，证明LCCMA算法只是试图抑制期望用户信号的多径，而不是利用它。
Secondly, the stationary points of the LCCM cost function are analyzed to demonstrate that the LCCMA attempts to suppress multipath of the desired user's signal rather than exploit it.
给出一种新的心电图压缩方法，该方法是在小波库中通过以信息熵作为代价函数寻找最优基，实现心电图压缩。
The paper reports a kind of new compression method of ECG signal. The method is realized by means of wavelet packets transform based on best basis performed by Shanon Weaker entropy criterion.
基于自然梯度原则并利用信号的时间相关属性对一类代价函数进行推导，获得一种新的非平稳信号自适应盲分离算法。
A new adaptive blind source separation algorithm of non-stationary signals was presented by using natural gradient rule and time-correlation property of the source signals acting on a cost function.
前一种算法根据最小恒模误差准则给出了求解加权矢量的新的代价函数，并使用直接搜索法计算对角加载值的最优解。
The former presents a novel cost function based on MCME criteria for the weight vector of antenna array, with direct searching method searching for optical diagonal loading value.
针对干涉数据质量不同的区域采取不同的展开策略，在最小二乘意义下利用有限元方法最小化不同的代价函数来实现。
Different strategies for regions were taken with different data quality, minimizing different cost functions in a least square sense via the finite element method (FEM).
该算法采用分层思想，将局部规划与全局规划相结合，并对代价函数进行了改进，在保证航迹优化的基础上，提高了搜索效率。
The algorithm uses the thought of delamination, makes local planning and global planning combination, and improves cost function, finally with ensuring optimal trajectory increases search efficiency.
该方法根据信号的特征恢复思想，以SRM为准则构造具有时间去相关特性的代价函数，采用静态迭代学习算法在线跟踪信道。
According to the feature reconstruction of signals, the method constructs the time decorrelation cost function under SRM rule, and traces channel using static iterative learning algorithm.
本文提出了一种多个三维刚体运动的匹配和估计算法，将对应点匹配和运动参数估计结合在一起，转化为代价函数的最优化过程。
This paper presents a matching and estimation algorithm for 3-d rigid body motions, integrating the procedures of the point match and motion estimation into a global optimization process.
该方法利用动态规划理论中代价函数的建立过程来充分考虑图像中的灰度、均值、方差、光滑程度和纹理等多种特征，从而使目标检测的结果为最佳。
Using images' features such as gradient, mean, variance, degree of smoothing and texture characteristics to establish cost function may obtain the best results of target detection.
如何以合理的硬件代价，快速实现高精度的浮点超越函数，是高性能微处理器设计的关键问题之一。
It is important to implement transcendental function of high precision with proper hardware cost for high performance microprocessor design.
从而，在只是付出了一些指令的代价后，您的程序会拥有函数式程序的可证明性和命令式程序的速度和内存特性。
So, for the price of at most a few instructions, your program can have the provability of a functional program and the speed and memory characteristics of an imperative one.
基于此，通过对网络数据备份的基本流程进行分析，提出一个基于数据量变化率函数的备份代价评估模型，并给出初步的量化公式。
By analyzing the key procedure of data backup, a model of data backup cost was put forward and the computing formula accordingly was given.
“摘要”视图显示有关分析运行期间性能代价最高的函数的信息。
The Summary view displays information about the most performance-expensive functions in a profiling run.
如果需要多次发出同一语句，odbc_exec函数是一种代价高昂的方法，因为它每次都要准备和执行这条语句。
If you want to issue the same statement multiple times, the odbc_exec function is an expensive approach because it prepares and executes the statement every time.
如果您想多次重复发出同一条语句，那么odbc_exec函数是一种代价高昂的方法，因为它每次都要编译并执行该语句。
If you want to reissue the same statement multiple times, the odbc_exec function is an expensive approach because it prepares and executes the statement every time.
然而，计算代价过大、核函数方法和参数寻优标准不确定性限制了SVM的应用范围。
However, the large computing cost and uncertain kernel method and standard uncertainty of parameter optimization don't contribute to the development of SVM.
然而，计算代价过大、核函数方法和参数寻优标准不确定性限制了SVM的应用范围。
However, the large computing cost and uncertain kernel method and standard uncertainty of parameter optimization don't contribute to the development of SVM.
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