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.
利用垂直于梯度方向的图像二阶导数设计了一种新的代价函数。
This paper proposes a texture preserving fourth order partial differential equations based image denoising model.
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.
利用匹配追踪算法找到了一个近似最小的代价函数，从而选出了滤波器。
An approximate minimizer of cost function is found by using matching pursuit algorithm, and the filters are selected.
然后以近似表达式为代价函数，提出一种优化感测时间和功率分配方案。
And then an optimum sensing time and transmitted power allocation was proposed by making use of the approximate outage probability formulation as 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.
论述了这些算法的代价函数最小化问题，并对它们的收敛性作出了简单的分析。
This paper overviews some commonly used cost function of the adaptation algorithms that minimize them and analyse convergence simply.
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.
这种移动测量系统通过代价函数的计算和距离剖面匹配使得重建图像的精度和效率大大提高。
The accuracy and efficiency of traverse measurement system are improved by means of the cost function calculation and range profiles matching.
提出了融合能量代价函数的概念及基于代价函数的小波包能量法，并将其应用于水声信号的识别。
The concept of fusing energy cost function and method based on the function are proposed, the method was used for the recognition of underwater acoustic signal.
然后讨论了构建稳健支撑向量机的代价函数所需的性质，并在此基础上，引入了损失代价函数族；
Second the properties which a cost function should have in order to construct a robust support vector regression are discussed. Then a family of cost functions is introduced.
设计了多目标进化算法来求解代价函数的全局最优解，提出了非线性盲源分离的多目标进化算法。
For separating source signals efficiently, a nonlinear blind separation algorithm based on specific-designed multiobjective evolutionary algorithm is proposed.
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.
将接收到的码元星座图通过一组并行的自适应盲均衡器，当盲均衡器与星座图匹配时其代价函数收敛到最小。
By the use of a set of parallel adaptive blind equalizers, the cost functions of equalizer matched to the received symbol constellation con - verges to the minimum.
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.
通过最小化能量方案极小化代价函数，同时通过定点交替迭代策略将非线性方程进行线性化处理，快速恢复图像。
The cost functions are minimized by alternate minimization scheme. The nonlinear equations are linear by fixed-point iteration scheme.
新算法以融合能量代价函数为标准，在整个小波库中构造最优小波包基，从小波包基上提取信号最有价值的特征值。
The new arithmetic constructed the best wavelet packet based on the wavelet library with the criterion of fusing energy cost function and contract the most valuable features of the signals.
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).
主要的研究内容和成果包括以下几个方面：1利用定义双正交原理提出提出了多种用于阵列信号盲分离双二次代价函数。
The main contents and contributions include: 1 on basis of the defined biorthogonality, we propose several biquadratic cost functions for array-signal blind separation.
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.
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