| 1. | The computing complexity and computing time of this algorithm is lower than that of existed algorithms
该算法比已有的块三对角矩阵求逆算法的计算复杂度和计算时间低。 |
| 2. | The proposed method can improve location accuracy without increasing communication traffic and computing complexity
该算法在不增加原算法通信量及计算复杂度的基础上提高了定位精度。 |
| 3. | The computing complexity of wi decoder is reduced greatly by this method , and the reconstructed speech quality keeps invariable meanwhile
该方法大大降低了wi解码器的复杂度,同时保证了合成语音质量没有变化。 |
| 4. | A hiding information algorithm of adaptive multiple plane - bit based on space domain was proposed , which has low computing complexity and large hidden information capacity
摘要提出了一种基于空间域的自适应多平面位的信息隐藏算法，该算法计算复杂度低，信息隐藏量大。 |
| 5. | Dynamic reduction problem is discussed and algorithm adding and reducing rules in the decision - making table dynamically are put foreword so as to reduce the computing complexity
一方面分析了动态自主知识获取问题中的决策表动态约简问题,确定了在获得基本最小规则集后动态增加或减少规则的算法。 |
| 6. | In order to minimize computing time , simplified prediction procedures are provided , which transform parameter seeking into arma process , and computing complexity and duration are decreased
为了减小计算量,本文对farima模型拟合的方法和具体步骤进行了深入的研究,简化了运算步骤,提出了一种简化的预测方法。 |
| 7. | In long - range dependent case , a 5 - layer bp is applied to predict the network traffic . simulations show that , in terms of prediction , bp is more precise than farima , but at the cost of computing complexity
研究结果表明,该模型能够较好地预测自相似业务流,特别是在预测精度上比farima模型要高,但是它的计算量较大。 |
| 8. | The theoretical analysis and the computer simulation results both show that the computing complexity of the proposed algorithm is reduced and the proposed algorithm maintains the same performance compared with other algorithms
理论分析与计算机模拟结果表明，该方案不仅降低了运算复杂度，而且与其它算法的性能几乎相等。 |
| 9. | Using the improved algorithm in edge location , the computing complexity is reduced by avoiding search efforts when using two dimensions error table , and the measuring accuracy is increased
实验数据表明，用误差函数对定位边缘进行误差补偿不但避免了使用误差校正表带来的复杂计算，而且重用性高，还大大提高了测量的精度。 |
| 10. | Simulation has shown that the proposed scheme can effectively reduce the computing complexity and can save up to nearly 60 percent of coding time by decreasing the times of simulating decoding in encoder
仿真实验表明，在相同信道条件及模拟随机信道状态个数下，提出的算法与h . 264标准算法相比，最多可节省近60的编码器编码耗时。 |
