1、

The relative error of computational head coefficient of the centrifugal pump compared with experiments is less than 6%, the distribution of the numerical head coefficient on blades agrees well that obtained by experiment;

计算的离心泵叶轮扬程系数与试验结果的相对误差小于6%,计算的叶片表面压力系数的分布与实验数据十分吻合;

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2、

The BEREC method improves error resilience of bIt'stream and decreases computational complexity.

该方法有效地提高了码流的抗误码性能,降低了编解码的运算复杂度.

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3、

By a comparison of the result with that of the analytical solution, the computational error of the numerical solution is discussed.

进行数值求解,通过数值解与精确解的比较,对计算误差的变化规律进行了分析研究。

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4、

The results of verifying calculation show that the analytic formula has smaller computational error as compared with computer numerical arithmetic, and therefore it is practical.

验证计算结果表明:解析公式与计算机数值计算法结果相比较,计算误差小,具有实用价值。

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5、

The weighted least square iteration computational equations and error estimate equations are given.

给出了加权最小二乘法的迭代计算公式和误差估计公式.

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6、

The novel equalizer utilizes the pipelined architecture to reduce the computational complexity; uses the decision feedback structure of each module to remove the error remaining in the network. Moreover, it can also overcome the unstableness of IIR structure in nature.

该均衡器利用流水线型结构的模块化并行特点来降低计算复杂度;利用每个模块具有判决反馈结构来消除过去的残留在网络中的误差,同时,也能够克服由于本质上IIR结构存在的不稳定性。

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7、

The development of children's competence, strategy and error type in computational estimation was discussed.

另外研究还对儿童估算能力、策略与错误类型的发展进行了深入讨论。

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8、

The error accumulation of dynamics can be eliminated by using canonical equation and symplectic integral method so that the computational accuracy can be ensured effectively.

正则方程与辛算法密切结合,消除了动力学计算的误差累积,保证了计算精度。

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9、

Therefore, this paper advances mean square error block decision feedback equalizer ( MMSE-BDFE) joint detection algorithm, which combines with ZF-BLE, MMSE-BLE algorithm and the FFT used to block cyclic matrix decomposition to reduce the computational method.

基于上述存在的问题,本文综合ZF-BLE、MMSE-BLE算法以及可用FFT进行块循环矩阵分解以减少运算量的方法,提出了基于FFT的最小均方误差判决反馈块均衡(MMSE-BDFE)联合检测算法。

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