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decomposition algorithm造句

"decomposition algorithm"是什么意思   

例句与造句

  1. Discussion and improvement on empirical mode decomposition algorithm
    经验模式分解算法的探讨和改进
  2. Decomposition algorithm on structural dynamic inversion with incomplete input information
    输入未知情况下结构复合反演的两步法
  3. A dual decomposition algorithm for turbulent wake flows after blunt bodies using the wavelet packet method
    钝体尾流的双重小波包分解
  4. Parallel domain decomposition algorithm based on schwarz chaotic relaxation for die casting mold filling simulation
    混乱松弛法的压铸充型模拟并行分区算法
  5. Finite difference domain decomposition algorithm on unstructured triangular mesh for parabolic equation
    一类无结构三角网上抛物方程的有限差分区域分解算法
  6. It's difficult to find decomposition algorithm in a sentence. 用decomposition algorithm造句挺难的
  7. Based on the quantum genetic algorithm ( qga ) and the matching pursuit ( mp ) , a fast image sparse decomposition algorithm was put forward to reduce the amount of calculation
    摘要为了减少图像稀疏分解的计算量,提出了一种基于量子遗传算法与匹配追踪相结合的图像稀疏分解快速算法。
  8. In chapter 5 , we extent the results of the finite difference domain decomposition algorithm of paper [ 13 ] for two dimensional heat equation and give some numerical results
    在第五章,我们在二维热传导方程求解上扩充了dawson等人的区域分解算法。给出了关于算法计算精度的数值结果。
  9. The famous mallat decomposition algorithm is applied . the correlations between the neighboring wavelet transform coefficients are utilized to restrain noises and the local maxima of the coefficients provide information of image boundaries
    并利用相邻尺度间小波系数的相关性和一种非线性函数进行噪声抑制,同时利用小波系数的模极大值来提取边缘点。
  10. The thesis introduces two basic thinking in field of optic character recognition ( ocr ) , which is statistical - decision algorithm based on math characteristic of character and structure - decomposition algorithm based on physical characteristic of character
    文字识别的原理和方法介绍了文字识别领域采用的一般方法和策略? ?基于数学特征的统计决策法和基于结构特征的句法分析法。
  11. Numerical simulation signal and vibration acceleration signal of a roughing mill main drive speed reduction unit have been decomposed by using empirical mode decomposition algorithm ; each component has been carried on spectral analysis
    摘要运用经验模式分解算法对数值仿真信号及某轧钢厂粗轧机主传动减速机振动加速度信号进行了分解,从而得到若干个基本模式分量,对每个模式分量进行了频谱分析。
  12. Based on the idea of linkage identification , piecewise interval correlation by iteration ( pici ) linkage identification based population decomposition algorithm is presented in allusion to the deficiency of existing population decomposition methods in coevolutionary algorithm
    摘要针对已有协同进化算法种群分割方法的不足,借鉴连接识别思想,提出用分段间隔相关迭代连接识别进行种群分割的算法。
  13. In chapter 2 , when the interface points decompose ( 0 , 1 ) with equal distance into multi - subdomains , there is given that a new error estimate result on the difference solution of the domain decomposition algorithm developed by c . n . dawson and others [ 13 ] for solving the heat equation
    在第二章,我们在内边界点为等距分划的多子区域条件下,得到dawson等人关于求解热传导方程区域分解算法差分解的误差估计。
  14. In chapter 3 , a new decomposition algorithm for the heat equation is also developed by using saul ' yev ' s asymmetric schemes at the interface points , and the prior error estimates of the approximate solution is obtained . the results of the new algorithm is compared with that of the algorithm in [ 13 ]
    在第三章,我们以saul ' yev非对称格式作内边界处理,发展了的新的区域分解算法,得到了差分解的先验误差估计,并与dawson等人的算法作了比较。
  15. The results of emulation and practical technical application indicate that time sequence components observed by empirical mode decomposition algorithm and frequency spec trum of them can reflect partial failure signature of gear adequately , at the same time , the weak signal feature can be easily extracted from them
    仿真研究及实际工程应用表明,采用经验模式分解算法后得到的时序分量及其频谱能够很好地体现齿轮局部故障特征,具有很强的弱信号特征提取能力。
  16. Experimental results in different noises and snr indicated that this vad algorithm can divide speech segments from non - speech segments accurately and reduce voiced - unvoiced error obviously . ( 2 ) an improved dct - hn speech decomposition algorithm based on the harmonic - noise model is presented
    不同噪声、信噪比下的实验结果表明,该算法可以准确区分语音段与非语音段,明显降低了基音检测中清浊误判现象的发生; ( 2 )基于“谐波-噪声”模型提出了一种改进的dct - hn语音分解算法。
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